SPD Technology

About Us At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. We are looking for a Senior ML & AI Engineer to join us as part of our team. About the role PitchBook’s Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team. About the project PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more. Team: 1 EM, 6 ML Engineers Work Environment: The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology. Tech Stack & Focus Areas: Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems. Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources. As a qualified expert You will

• Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges.

• Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis.

• Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights.

• Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing.

• Mentor & Lead: Act as a mentor for junior team members and stay updated on trends in Agentic AI, transformer models, and generative systems.

• Collaborate & Communicate : Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively.

• Tech Stack & Focus Areas: Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems. Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources.

We’re looking for you if you have

• Educational Background: You hold a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.

• Experience: You bring 4+ years of production experience in the ML field, with a track record in developing transformer-based models and deploying them in scalable systems.

• Technical Expertise:

• Proficient in Python and machine and deep learning frameworks like TensorFlow, PyTorch, ScikitLearn, Spacy or other.

• Experienced in natural language processing and modern LLM based techniques.

• Experience with full ML lifecycle, data preprocessing, training, evaluation stages and monitoring techniques

• Skilled with SQL and data extraction methods.

• Innovative Thinker: You thrive on solving complex problems and are always exploring new trends in Generative AI.

• Collaborator & Communicator: You’re an excellent communicator able to collaborate and express your thoughts in a professional manner to team members, other engineering teams and stakeholders.

• Domain Knowledge: Exposure to financial services, investment banking, venture capital, or private equity is nice to have.

Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work. Embrace the opportunity for personal and professional growth Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more. Be among like-minded people Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program. Interview steps

• Pre-Screening with the recruiter

• Technical interview (up to 90 min)

• System Design interview (up to 45 min)

• Behavioral Round with Product Manager (45 min)

• Final interview with Engineering Manager (30 min)

Kateryna Leonova Middle Talent Acquisition Specialist

About SPD Technology

SPD Technology is a global software product development company that creates cutting-edge tech solutions that drive clients’ growth. We provide software engineering, product development, and IT consulting services to world-renowned companies, ranging from Fortune 500 firms to emerging startups across the globe. Founded in 2006, we’ve delivered over 460 custom projects for high-growth startups, SMBs, and enterprises, building strong partnerships with industry leaders such as PitchBook, Morningstar, Blackhawk Network, Poynt, Space Needle, and many more. Specialising in fintech and digital payment solutions, data engineering, AI/ML, and Cloud technologies, we build products ranging from MVPs to complex, enterprise-grade solutions. We are presented globally: we have 2 development centers in Europe, a representative office in Romania, the U.K., Cyprus, and remote teams, working worldwide from 32 countries around the globe.

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• Larnaca, Cyprus

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• Kyiv, Ukraine

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© SPD Technology 2026. All rights reserved

About Us At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for an Engineering Manager to join us as part of our team.

About the role PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of millions of companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Data Collection Technology is a core technology domain responsible for ingesting, processing, managing, and publishing data to the main platform. It combines a suite of battle-proven legacy data collection tools with a modern data collection platform. The broader data management platform provides a unified environment for managing and validating data across both private and public markets. It brings together multiple tools and workflows, standardizes quality-assurance processes, and enables scalable automation for data operations. As an Engineering Manager in PitchBook’s DataTech team, you will be responsible for ensuring your teams execute well and deliver the outcomes they commit to. Your primary focus will be strengthening delivery capabilities and helping teams improve planning, execution and predictability. You will also ensure effective platform-wide operational processes, including customer support and incident management. People management and team development remain important responsibilities, with successful and sustainable delivery as the primary focus. Tech Stack: Java 21, Kubernetes/GitOps, Spring Boot, MFE Architecture, OpenAPI, PostgreSQL, Kafka, Redis Team setup: 2 teams Work Environment: ​​flexible

As a qualified expert You will Own delivery and engineering outcomes for DataTech teams

• Be accountable for delivery, velocity, quality, reliability and scalability
• Ensure work is aligned with DataTech priorities, using effective visualization and reporting to understand delivery, identify problems and drive improvements

Ensure strong SDLC execution and technical quality

• Ensure teams execute effectively across refinement, design, estimation, implementation, testing and deployment
• Identify execution gaps and work with SDE Leads to improve how delivery works
• Invest in improving a AI-enabled SDLC, including adoption and evolution of SDD frameworks and practices

Plan and manage capacity

• Own short- and long-term capacity and capability planning
• Allocate people in line with DataTech priorities and delivery commitments
• Surface capacity and delivery risks and drive mitigation

Own product quality, reliability and operations

• Be accountable for stability, reliability, performance and overall quality
• Ensure effective platform-wide customer support, incident management, observability and other operational processes
• Balance delivery with technical health and operational needs

Lead and grow engineers and SDE Leads

• Manage engineers and SDE Leads through coaching, feedback, growth and performance management
• Build and evolve teams through hiring, onboarding and shaping the right skill mix
• Maintain healthy team dynamics and address people issues early

Strengthen ways of working and collaboration

• Improve engineering practices where they help teams deliver more effectively
• Partner with Product, Data and other domains to align plans and manage dependencies
• Contribute to domain-level planning and cross-team collaboration

We’re looking for you if you have

• Proven engineering leadership experience managing multiple software/data engineering teams
• Strong track record of delivery, including improving planning, prioritization and execution
• Ability to use delivery data, visualization and reporting to identify problems and drive improvements
• Strong people-management skills: coaching, performance management and team development
• Strong technical judgment and ability to work with engineering leads to improve delivery practices, including effective use of GenAI and SDD
• Clear communication and collaboration skills with technical and non-technical stakeholders
• Ownership mindset: accountable for delivery as well as long-term quality and maintainability
• Excellent written and verbal communication skills in English

Bonus points

• Experience in DataTech-like domains (data ingestion, processing, curation).
• Familiarity with Stream-Aligned Teams / Team Topologies.
• Experience working with Architecture, Platform, SRE and other enabling teams.
• Experience improving observability, reliability and incident management for backend/data services.

What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work. Embrace the opportunity for personal and professional growth Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more. Be among like-minded people Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Interview steps

• Pre-Screening with the recruiter
• Manager screening
• Tech Interview
• Architecture interview
• HRBP Interview
• Client Interview

Bohdan Hnatiuk Senior Talent Acquisition Specialist

Work Type: Full-time, Remote

Category: Engineering

Location: Germany, Poland, Portugal, Romania, Spain, Ukraine

Posted 3 weeks ago

Apply for this position Any questions left? I'm happy to help Bohdan Hnatiuk Senior Talent Acquisition Specialist

About SPD Technology

SPD Technology is a global software product development company that creates cutting-edge tech solutions that drive clients’ growth. We provide software engineering, product development, and IT consulting services to world-renowned companies, ranging from Fortune 500 firms to emerging startups across the globe. Founded in 2006, we’ve delivered over 460 custom projects for high-growth startups, SMBs, and enterprises, building strong partnerships with industry leaders such as PitchBook, Morningstar, Blackhawk Network, Poynt, Space Needle, and many more. Specialising in fintech and digital payment solutions, data engineering, AI/ML, and Cloud technologies, we build products ranging from MVPs to complex, enterprise-grade solutions. We are presented globally: we have 2 development centers in Europe, a representative office in Romania, the U.K., Cyprus, and remote teams, working worldwide from 32 countries around the globe.

Send us your CV! Maybe we need you but we haven't known about that yet.

Resume

Upload a file or drag & drop here

Yes, I confirm my consent to the processing of personal data and accept the terms of the recruitment privacy policy .

Δ

Software Product Development Company

• Company

• Contact Us

• Blog

• About Us

• Case Studies

• Careers

• Locations

• London, UK

• Larnaca, Cyprus

• Bucharest, Romania

• Kyiv, Ukraine

• Cherkasy, Ukraine

• Info

• Privacy Policy

• CCPA Policy

• RECRUITMENT & EMPLOYMENT PRIVACY NOTICE

• Change Cookie Preferences

• [email protected]

© SPD Technology 2026. All rights reserved

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At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Senior Data Engineer to join us as part of our team. About the role We are looking for a Senior Data Engineer to lead the build of an automated payments reporting and analytics platform for a client in the payments space. Today, revenue reporting for this business depends on manual journal entries and manual assembly of results — the general ledger and BI reporting do not reconcile without human intervention, and reporting is too aggregated to explain performance. Your mission is to replace that with a consistent, automated data flow: daily pipelines that land processor, CRM, and ERP data into a cloud data warehouse, post automatically to the general ledger, and feed a reporting layer granular enough to decompose any variance to budget down to its root cause. This is a high-ownership role with direct visibility to finance and business stakeholders, where the quality of your data models directly determines whether the business can trust its numbers. Technical Stack Core: Snowflake, dbt, SQL, Python, a modern orchestrator (Airflow / Dagster / Prefect), Git + CI/CD. Source systems in scope: multiple payment processors and a core payments API, a CRM (customer & pricing attributes), and an ERP/general ledger. A BI tool renders the end-user dashboards on top of the modeled data. As a qualified expert You will

Design and build automated, reliable ELT pipelines that integrate data from multiple source systems (payment processors, CRM, and ERP) into a cloud data warehouse on a daily cadence.

Automate financial reporting to the general ledger that reconciles with the reporting layer by design, replacing manual, error-prone processes.

Build and maintain a data-mapping layer that resolves customer identity across systems and rolls transactions up to a single customer key.

Model clean, well-documented data marts that make business performance explainable and support drill-down and variance analysis.

Deliver the data models that power a KPI and forecasting dashboard for finance and business stakeholders.

Ensure pipelines are robust and auditable with monitoring, data-quality checks, and alerting so issues are caught before reporting is consumed.

Collaborate with BI, finance, and integration partners to turn business requirements into reliable data products and define phased delivery.

We’re looking for you if you have

5+ years of professional experience in data engineering, with a track record of owning production data pipelines end to end.

Expert-level SQL — complex analytical queries, window functions, query optimization, and dimensional / star-schema data modeling.

Hands-on experience on a modern cloud data warehouse, ideally Snowflake (or comparable: BigQuery, Redshift, Databricks).

Strong experience with dbt (or an equivalent ELT transformation framework) for transformation and building tested, documented, version-controlled data models.

Proven experience building and scheduling ELT/ETL pipelines using a workflow orchestrator (e.g. Airflow, Dagster, Prefect) and designing idempotent, re-runnable, incremental loads.

Experience implementing data-quality testing, monitoring, and alerting as first-class parts of a pipeline.

Strong communication skills with the ability to work directly with finance/business stakeholders, clarify requirements, and explain data-model decisions clearly (English, written and spoken).

Bonus points

Domain experience in payments, FinTech, or financial-services data — familiarity with concepts such as interchange, scheme/network fees, take rate, chargebacks, authorization rates, or surcharging.

Experience integrating payment-processor data (e.g. Worldpay, Adyen, Stripe) and normalizing heterogeneous processor data into a single model.

Experience supporting BI/analytics teams and self-service reporting tools (e.g. Power BI, Tableau, Looker, Sigma).

Exposure to analytics engineering or hands-on work with forecasting / cohort-based analytical models.

Data contracts and governance practices (dbt exposures, contracts/tests, semantic layers).

Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work. Embrace the opportunity for personal and professional growth Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more. Be among like-minded people Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program. Interview steps

Pre-Screening with the recruiter (up to 30 min)

Technical Interview (up to 90 min)

Interview with Manager (45 min)

About the Role

We are looking for a Senior Full-Stack AI Engineer to turn validated proofs of concept, experimental scripts, and early-stage AI or automation solutions into secure, scalable, and reliable production applications. You will take ownership of solutions end-to-end: from understanding business needs and shaping requirements to architecture, full-stack development, cloud deployment, production support, and continuous improvement. The role combines modern full-stack engineering, Python backend development, cloud-native architecture, and applied AI. You will build web applications, APIs, integrations, automation workflows, and agentic AI systems using technologies such as LangChain and LangGraph. You will work closely with the CTO Office, FinOps, Operations, Sales, and Pre-Sales teams to turn loosely defined ideas into practical products that automate manual work and deliver measurable operational value. Initial initiatives may include FinOps automation, enterprise AI enablement, meeting assistants, internal productivity tools, and other AI-powered platforms. This is an end-to-end engineering role with a high degree of ownership. You will be expected to make pragmatic technical decisions, work independently, and operate solutions in production without relying on dedicated QA, DevOps, or SRE support for everyday delivery.

Technical Stack

• Languages & Frameworks: Python (FastAPI, Django, Flask), TypeScript, Vue.js, React, Nuxt.js, Next.js, Vite, Tailwind CSS

• AI & Agentic Frameworks: LangChain, LangGraph, RAG, Multi-agent Orchestration, LLM Tool/Function Calling, MCP Servers, AI Skills

• Cloud & Serverless: AWS (Lambda, ECS/EKS, DynamoDB, S3, RDS, API Gateway), Amazon Bedrock, Azure AI Foundry

• Data & Architecture: REST APIs, Relational (PostgreSQL, MySQL) and NoSQL Databases

• IaC & DevOps: GitHub Actions (Automated AI-assisted PR reviews), AWS CDK, Terraform, CloudFormation, Docker, Kubernetes

• Observability & Operations: CloudWatch, Prometheus, ELK Stack

• Security & Auth: OAuth 2.0, SAML, JWT, SSL/TLS, Secret Management

• Agentic Dev Tools: Cursor, Claude Code, Windsurf.

As a qualified expert, You will:

• Turn Concepts into Reality: Transform CTO Office proofs of concept, scripts, and experimental solutions into scalable, production-ready applications.

• Drive Full Product Lifecycle: Own projects end-to-end — from initial discovery and system architecture to deployment, ongoing support, and iterative improvements.

• Bridge Tech and Business: Collaborate directly with the CTO Office, FinOps, operations, sales, and pre-sales stakeholders to translate loosely defined business needs into concrete technical designs.

• Architect Modern Platforms: Build responsive frontends, robust Python backends, APIs, system integrations, and automated workflows using AWS serverless and containerized services.

• Engineer Advanced AI Workflows: Build agentic systems using LangChain and LangGraph, covering RAG, tool calling, multi-agent orchestration, custom MCP servers, and reusable internal AI capabilities.

• Ensure Operational Excellence: Establish CI/CD pipelines with GitHub Actions, write infrastructure as code, implement automated testing, and set up comprehensive logging, monitoring (CloudWatch/ELK), and failure recovery.

• Enforce Production Security: Securely manage authentication (OAuth 2.0/SAML/JWT), secret storage, certificates, and strict access controls.

• Set Engineering Standards: Define pragmatic development guidelines for the CTO Office function, document systems clearly, and transparently communicate risks and trade-offs.

We are looking for you if you have:

• Production Experience: 5+ years of full-stack engineering experience, with a proven track record of independently designing, deploying, and operating software in production.

• Prototype Refactoring Mastery: Strong ability to take unorganized scripts, legacy code, or early-stage prototypes and refactor them into maintainable production systems.

• Frontend & Backend Proficiency: Deep expertise in Python (FastAPI preferred) alongside modern TypeScript/JavaScript frameworks (Vue.js or React).

• AWS & Infrastructure Expertise: Hands-on experience building, scaling, and managing workloads on AWS infrastructure using IaC tools (Terraform/CDK).

• Hands-on Agentic AI Capabilities: Production experience with LangChain, LangGraph, agent orchestration, tool integration, RAG, and error recovery in non-deterministic AI systems.

• DevOps & Automation Mindset: Solid understanding of CI/CD pipelines (GitHub Actions), Docker/Kubernetes, and practical experience using modern AI developer tools (Cursor, Claude Code, Windsurf).

• High Autonomy & Ownership: Ability to deliver reliably without dedicated QA, DevOps, or SRE teams, navigating ambiguity and challenging unsafe or unclear requirements constructively.

• Strong System Design: Deep knowledge of distributed systems, database design (relational and NoSQL), design patterns, and enterprise security standards.

What’s in it for You

Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work. Embrace the opportunity for personal and professional growth Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more. Be among like-minded people Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Interview Steps:

• Interview with Recruiter.

• Technical Interview.

• Client Interview.

Olha Lutsenko Team Lead, Talent Acquisition

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Senior Private Cloud Architect (VMware & Kubernetes) to join us as part of our team. About the project: The project focuses on assessing, designing, and transforming enterprise private and hybrid cloud environments built on VMware and Kubernetes technologies. It includes current-state infrastructure and platform assessments, customer discovery workshops, requirements gathering, future-state architecture, networking and security design, automation, migration planning, and operational readiness. The architect will design solutions involving VMware Cloud Foundation, vSphere, vSAN, NSX, vDefend, VCF Automation, Supervisor, VKS, and Kubernetes. The project may also include platform installations, migrations, upgrades, patching, disaster recovery, proofs of concept, and cloud-modernization initiatives. A key objective is to translate technical and business requirements into secure, scalable, and implementation-ready architectures. The architect will present and defend recommendations to engineering teams and customer management before handing the approved design over to delivery teams and providing technical guidance during implementation when required. Our Tech Stack & Focus Areas

• VMware Cloud Foundation, vSphere, ESXi, and vSAN
• VMware NSX, vDefend, Edge Nodes, and Tier-0/Tier-1 gateways
• VCF Automation/VMware Aria Automation and Orchestrator
• VCF Operations and Operations for Logs
• VMware Supervisor and VKS
• Kubernetes
• BGP, route redistribution, and north-south connectivity
• Compute, storage, networking, security, and disaster recovery
• PowerShell, JavaScript, Terraform, and Ansible
• AWS, Google Cloud Platform, and hybrid cloud Work Environment Flexible schedule with participation in team ceremonies and cross-functional collaboration. Time zone: You will be expected to have some overlap with the US east coast time zone. As a qualified expert, You will:
• Lead VMware and Kubernetes architecture engagements from discovery through handover
• Run customer workshops and gather technical, operational, security, migration, and business requirements
• Assess existing infrastructure, virtualization, networking, security, automation, and Kubernetes environments
• Design future-state VCF and Kubernetes architectures
• Create high-level and low-level designs, diagrams, procedures, migration plans, and transformation roadmaps
• Design NSX and vDefend networking and security solutions, including BGP and Tier-0/Tier-1 routing
• Define automation and orchestration architectures using VCF/Aria Automation and related technologies
• Plan installations, migrations, upgrades, patching, disaster recovery, and modernization initiatives
• Present recommendations, explain trade-offs, and defend architecture decisions
• Hand over implementation-ready designs and guide delivery teams when required
• Lead or support proofs of concept and technology evaluations
• Collaborate with customers, solutions architects, delivery technical leads, and engineers
• Maintain current technical knowledge through documentation, lab testing, and certification We’re looking for you if you have
• Senior-level experience designing enterprise VMware, private cloud, or platform solutions
• Strong practical architecture expertise in both VMware and Kubernetes
• Experience assessing current-state environments and designing secure, reliable, and operationally supportable future-state architectures
• Strong knowledge of VCF, vSphere, vSAN, NSX, vDefend, automation, operations, logging, disaster recovery, Supervisor, and VKS
• Ability to architect Kubernetes platforms and integrate them with VMware infrastructure, networking, storage, and security
• Experience with NSX networking, including BGP, Edge Nodes, Tier-0/Tier-1 routing, route redistribution, and north-south connectivity
• Experience with VMware automation and orchestration, including VCF/Aria Automation
• Experience developing migration, modernization, and cloud-transformation strategies
• Proven enterprise consulting or professional services experience
• Ability to independently lead discovery workshops, gather requirements, and turn findings into an architecture
• Strong presentation skills and the ability to explain and defend technical trade-offs to engineers and management
• Strong written documentation skills, including high-level and low-level designs
• Ability to identify and document risks, constraints, dependencies, and prerequisites
• Ability to follow industry guidelines and best practices
• A relevant degree and advanced VMware or Kubernetes certifications are advantageous
• English — Upper Intermediate or higher Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work. Embrace the opportunity for personal and professional growth Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more. Be among like-minded people Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program. Interview Steps:
• Pre-screening with recruiter
• Technical Interview
• Manager Interview
• Final сlient Interview Bohdan Hnatiuk Senior Talent Acquisition Specialist

About SPD Technology

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Engineering Manager, Applied AI & Machine Learning Engineering to join us as part of our team.

About Role

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others.

As an Engineering Manager, AI/ML, you will support a cross-functional team of MLE and MLOps engineers working across several AI/ML initiatives.

Your primary focus will be resource planning, execution, and people management. You will work closely with project leads, technical leads, functional managers, and product partners to ensure projects are appropriately staffed, plans are realistic, risks are visible, and teams can deliver effectively.

You will manage capacity and resource allocation across multiple projects, help coordinate dependencies and priorities, and provide stakeholders with a clear view of delivery progress. Project and technical leads will continue to own product direction and technical decisions.

You will also support the career growth and performance of team members. This includes gathering feedback, coaching employees, creating development plans, and contributing to performance, promotion, and compensation reviews.

You should have enough AI/ML experience to understand the work, communicate effectively with engineers, and identify technical delivery risks. However, this is not expected to be a hands-on engineering or architecture role.

Our Tech Stack & Focus Areas

• Generative AI & LLMs: Develop and maintain LLM-based solutions for generative features.
• Classic ML Models: Develop and maintain predictive and classification models for financial data
• Vector Databases: Implementing efficient storage and retrieval systems for high-dimensional data embeddings.
• Embeddings: Developing hybrid models to extract insights from diverse data sources.
• High-Volume Data Management: Engineering systems capable of handling massive, real-time data streams.

Work Environment

Flexible schedule with participation in team ceremonies and cross-functional collaboration. Time zone: Europe/Kyiv.

As a qualified expert, You will:

• Manage resource allocation and capacity planning across multiple AI/ML projects and operational commitments
• Partner with project and technical leads to create realistic delivery plans, milestones, and staffing models
• Maintain a clear view of project progress, dependencies, risks, and resource constraints
• Help resolve delivery blockers, priority conflicts, and cross-team dependencies
• Facilitate quarterly and ongoing planning across MLEs and MLOps teams
• Provide clear delivery and staffing updates to functional managers and other stakeholders
• Manage and coach engineers through regular one-to-one meetings and career discussions
• Gather and synthesize feedback from project leads, technical leads, and cross-functional partners
• Create development plans and support performance, promotion, and compensation review processes
• Identify team capability gaps and contribute to hiring, onboarding, retention, and workforce planning
• Foster an inclusive, collaborative, and high-performing team environment
• Apply Agile, Lean, and Fast-Flow practices to improve team effectiveness and delivery predictability

We’re looking for you if you have

• At least three years of experience in software engineering, AI/ML, or a related field
• At least three years of experience in people management, engineering management, or technical program leadership
• Working knowledge of AI/ML modeling, systems and the development lifecycle
• Experience managing multiple technical projects with shared resources and cross-team dependencies
• Strong skills in capacity planning, resource allocation, project execution, risk management, and stakeholder communication
• Experience supporting the performance and career development of technical employees
• Ability to understand technical discussions and work effectively with MLE and MLOps teams
• Experience working with distributed or geographically dispersed teams
• English — Upper Intermediate or higher; Ukrainian — fluent

Bonus points

• Experience managing or supporting MLE and MLOps teams
• Experience working in a matrix organization with separate people, project, product, and technical leadership roles
• Experience with planning or allocating engineers across multiple projects
• Familiarity with production ML, generative AI, semantic search, summarization, prediction, or similar capabilities
• Familiarity with technologies such as Kubernetes, Docker, Kafka, Airflow, Snowflake, and cloud platforms
• Experience conducting performance reviews and building employee development plans
• Experience working with staffing partners, contractors, or blended internal and external teams
• Experience in fintech, SaaS, market data, or another data-intensive industry

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.

Embrace the opportunity for personal and professional growth

Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more.

Be among like-minded people

Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Interview Steps:

• Pre-screening with recruiter
• EM & HRBP Interview
• Technical Interview
• Final сlient Interview

Bohdan Hnatiuk Senior Talent Acquisition Specialist

About SPD Technology

SPD Technology is a global software product development company that creates cutting-edge tech solutions that drive clients’ growth. We provide software engineering, product development, and IT consulting services to world-renowned companies, ranging from Fortune 500 firms to emerging startups across the globe. Founded in 2006, we’ve delivered over 460 custom projects for high-growth startups, SMBs, and enterprises, building strong partnerships with industry leaders such as PitchBook, Morningstar, Blackhawk Network, Poynt, Space Needle, and many more. Specialising in fintech and digital payment solutions, data engineering, AI/ML, and Cloud technologies, we build products ranging from MVPs to complex, enterprise-grade solutions. We are presented globally: we have 2 development centers in Europe, a representative office in Romania, the U.K., Cyprus, and remote teams, working worldwide from 32 countries around the globe.

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. We are looking for a Senior Project Manager to join us as part of our team. About the role You will work on a Payment Orchestration Platform, a greenfield project designed to optimize transaction processing, enhance operational efficiency, and deliver a seamless user experience. Work Environment Work within the EU time zone (UTC+1/UTC+2), which is 2 hours behind Ukraine. As a qualified expert, You will

• Drive the successful execution of complex projects, ensuring on-time and within-budget delivery by defining scope, planning, resourcing, and tracking progress.
• Create and execute complex plans for multi-release projects, engaging stakeholders and providing internal and external reporting.
• Establish and monitor project metrics and KPIs, generating comprehensive reports for diverse audiences to ensure project performance visibility.
• Proactively identify, assess, and mitigate project risks across project streams, developing strategies and escalating critical issues as needed.
• Cultivate strong stakeholder relationships, managing expectations, communicating transparently, and ensuring alignment on project objectives.
• Continuously monitor project progress, provide feedback and mentorship to team members, and proactively address performance issues.
• Foster a collaborative environment, facilitating effective communication and knowledge sharing within the project teams and the project management competency branch.
• Implement initiatives to enhance team performance and professional development, including training and mentorship for both team members and clients.
• Proactively identify opportunities for project expansion and improvement, contributing to strategic planning and innovative solutions.
• Participate in cross-functional discussions to ensure project alignment with organizational goals and strategic priorities.

We’re looking for you if you have

• 6+ years of demonstrated success managing and delivering complex projects with teams of 20+ FTEs, utilizing delivery excellence practices.
• Excellent leadership, communication, and interpersonal skills, enabling effective interaction with diverse stakeholders and strong internal and external relationship building.
• Proven track record of successful stakeholder management, including managing expectations, resolving conflicts, and ensuring alignment across the project.
• Strong analytical, problem-solving, and critical thinking skills, with the ability to adapt to changing priorities and challenges.
• Proven experience coordinating and managing dependencies between multiple project streams within complex projects.
• Demonstrated ability to lead and motivate cross-functional teams, ensuring effective communication and coordination across project streams.
• Demonstrated experience managing projects within established frameworks (Agile, Waterfall, etc.) and establishing them from scratch, with the flexibility and adaptability to navigate changing requirements.
• Deep involvement in common project competencies and best practices, including QA, development, business analysis, DevOps, architecture, and so on.
• Experience using data to identify areas for improvement and optimize program performance.
• Excellent organizational and time-management skills, with the ability to prioritize effectively in a dynamic environment.
• A proactive, results-oriented approach with a passion for achieving project success.

What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work. Embrace the opportunity for personal and professional growth Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more. Be among like-minded people Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program. Interview steps

• Pre-Screening with the recruiter (30 min)
• Interview with the Manager (1 hour)
• Technical Interview (1 hour)

About us

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence, and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. We are looking for a Senior Python/Django Backend Engineer to join us as part of our team.

About the role

As a Senior Python/Django Backend Engineer , you will play a crucial role in building and evolving an AI-native platform that automates residential real estate transaction coordination in the US market. You will join an existing production system and help take it to the next level of reliability, scalability, and functionality. You will work on core backend infrastructure, database architecture, third-party integrations, workflow automation, and AI-powered features — from strengthening the PostgreSQL and worker architecture to integrating e-signatures, improving the email layer, and building the backend for a voice-driven contract drafting agent. The platform streamlines the entire workflow following a real estate contract: automatically processing executed contract packages, splitting multi-document PDFs into individual exhibits, enforcing state-specific compliance requirements, extracting structured transaction data, and calculating complex contingency deadlines. This is an opportunity to own backend features end to end and solve complex technical challenges in a product where reliability, data integrity, tenant isolation, and human oversight are critical.

Our stack

Python, Django, Gunicorn, PostgreSQL, SQLite, psycopg, AWS (ECS/Fargate, RDS, S3, SQS, SES, Secrets Manager, ECR, CloudWatch, WAF), Docker, ALB, IAM, CI/CD.

As a qualified expert You will

• Build and ship backend features end to end — design, implementation, tests, review, deploy.

• Take the platform from SQLite-friendly to production PostgreSQL: schema parity on a disposable database, cutover rehearsal with row counts and sequence and FK verification, concurrency under overlapping writers, and rollback.

• Implement reliable singleton or lease-based ownership for the heartbeat worker before the platform scales horizontally, and separate it from the admin API service.

• Integrate DocuSign: envelope creation, signer mapping, signature requests, webhooks, status tracking, completed-document handling, follow-ups, and explicit failure and retry behavior.

• Harden the email layer — inbound thread and attachment resolution to the right transaction, template-and-slot outbound generation behind a deterministic recipient and content gate, review and approval queues, delivery outcome tracking.

• Keep tenant isolation and authority intact across every query, credential, export and integration — action-scoped RBAC, approvals, human review gates, and an append-only audit trail that keeps AI recommendations, deterministic findings, human decisions and external writebacks distinguishable.

• Move prompt and model configuration out of hard-coded Python into the existing prompt registry and model router, without changing verifier behavior.

• Build the backend for the contract drafting agent: structured offer data from a voice conversation, draft generation against the same form ontology the compliance engine uses, validation before anything reaches a human, explicit approval, handoff into the existing workflow.

• Write and maintain the tests that matter here — the application suite plus a PostgreSQL integration suite against a disposable DSN, plus contract tests covering every registered mutation.

• Instrument the things that break at 3am: health, error rate, worker heartbeat age, queue age and retry depth, provider failures, pool saturation, slow queries.

We’re looking for you if you have

• 5+ years of professional experience with Python and strong hands-on experience with Django.

• Deep knowledge of Django beyond REST/CRUD development, including ORM behavior under load, migrations, transactions, management commands, and background processing.

• Strong production experience with PostgreSQL, including schema design, migrations, query analysis and optimization, connection pooling, transactions, locking, advisory locks, and concurrent database access.

• Hands-on experience with AWS services such as ECS/Fargate, RDS, S3, SQS, SES, Secrets Manager, IAM, ECR, and CloudWatch.

• Proficiency in Docker and experience with container-based application deployment and releases.

• Proven experience building and operating integrations with third-party APIs that you do not control, including signed webhooks, idempotency, retries, reconciliation of missed events, and explicit failure handling.

• Experience designing and maintaining multi-tenant applications with tenant-scoped data access, role-based authorization, and audit trails.

• Strong understanding of backend architecture, asynchronous processing, data integrity, reliability, and production troubleshooting.

• A proven ability to own backend functionality end to end, from technical design through implementation, testing, deployment, and production support.

• A strong engineering mindset and the ability to make sound technical decisions in systems where reliability, security, and data consistency are critical.

• English –Upper-Intermediate or higher; Ukrainian –fluent/native .

Bonus points

• Experience with PDF processing and OCR pipelines, especially AWS Textract.

• Production experience integrating LLMs, including structured output validation, prompt versioning, model/provider fallback, and cost optimization.

• Experience with DocuSign or other e-signature APIs.

• Experience designing document or workflow state machines.

• Previous experience working in compliance-heavy domains such as legal, fintech, insurance, or healthcare.

• Experience with voice, speech-to-text, or conversational AI pipelines.

• Experience working with AI-powered automation where human review and approval are part of the workflow.

• Familiarity with observability and production monitoring practices for distributed backend systems.

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Benefit from a flexible working schedule and create work and rest balance for yourself. Enjoy 20 business days of paid vacation for full-time, unlimited sick leave, 4 days of emergency leave, and more.

Embrace the opportunity for personal and professional growth

Take advantage of certification support, career paths and personal development plans, company-wide tech and cultural events. Elevate your skills with mentorship program, public speaking support, educational leave, access to corporate library, and more.

Feel cared about

Prioritize your well-being with a yearly budget for medical insurance/ life insurance/ abroad coverage/ travel insurance. Get compensation for sports, equipment, massage, and rehabilitation, along with access to the well-being program. Feel supported with corporate loan, tax and legal advisory and wedding and baby birth bonuses for important family events in your life.

Interview steps

• Interview with Recruiter

• Technical Interview

• Manager Interview.

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence, and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. We’re currently looking for a Senior Linux Platform Engineer to join our team.

About the Role As a Senior Linux Platform Engineer, you will serve as a technical expert for Roche Linux, a custom Debian-based platform powering laboratory instruments. You will be responsible for diagnosing and resolving complex operating system, networking, and platform issues, working directly with both software and infrastructure components. You will partner closely with Roche’s global Linux engineering team, contribute to platform enhancements, and help ensure the reliability, security, and performance of mission-critical systems used in healthcare and diagnostics environments.

As a qualified expert, You will:

• Support and troubleshoot Roche Linux (a custom Debian-based Linux distro) across lab instruments

• Work on OS-level platform, networking, and configuration issues

• Visit the lab physically to diagnose and resolve issues on-site

• Collaborate directly with the Roche Linux IT team (globally distributed), acting as the US-based extension of that team

• Participate in training provided by the Roche Linux team

• Potentially contribute to development work directly for the US team

• Direct access to Roche Linux OS repositories for troubleshooting and changes

We’re looking for you if you have

• Bachelor’s Degree in Computer Science, Mathematics, Physics, Electrical Engineering, or a related field.

• 5+ years of experience with Linux administration and troubleshooting in production environments

• Strong expertise with Debian-based Linux distributions (Debian/Ubuntu)

• Deep understanding of Linux internals, system services, package management, permissions, networking, and OS-level troubleshooting

• Experience with PostgreSQL and RabbitMQ administration and support

• Strong knowledge of TCP/IP, DNS, routing, VPN, firewall, and network diagnostics

• Bash scripting and Git

• Experience with software deployment, updates, rollback, and system recovery processes

• Ability to perform root cause analysis and resolve complex platform issues independently

Nice to Have

• Experience with custom Linux distributions or Embedded Linux

• Python scripting

• Experience in medical devices, laboratory, or other regulated environments

• CI/CD and release management experience

About Us

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Middle ML Operations Engineer to join us as part of our team.

About the role

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. We are seeking an experienced and innovative engineer to expand and drive our Data Science and Machine Learning efforts in the EU and Ukraine.

Team setup : 1 Engineering Manager, 4 Senior ML Ops Engineers Work Environment: The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.

As a qualified expert You will

• Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation
• Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment
• Design and deliver tasks end-to-end with little guidance from Senior team members
• Provide support to teams building and deploying AI applications by addressing common pain points in the MLDLC
• Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities
• Support the vision and values of the company through role modeling and encouraging desired behaviors.
• Participate in various cross-functional company initiatives and projects as requested.
• Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance.

We’re looking for you if you have

• Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or commensurate experience)

• 3+ years of experience in hands-on development and deployment of Machine Learning algorithms and services

• 3+ years of experience supporting the entire MLDLC, including post-deployment operations such as monitoring and maintenance

• 3+ years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP)

• Experience with at least 50% of: PyTorch, Tensorflow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, KubeFlow

• Ability to break large, complex problems into well-defined steps, ensuring iterative development and continuous improvement

• Experience in cloud-native delivery, with practical understanding of containerization technologies such as Kubernetes and Docker

• Proficiency in GitOps and creation/management of CI/CD pipelines

• Demonstrated experience building and using SQL/NoSQL databases

• Demonstrated experience with Python (Java is a plus) and other relevant programming languages and tools.

• Good problem-solving skills with a focus on innovation, efficiency, and scalability in a global context.

• Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions.

• Ability to be a team player who can also work independently

• Experience working across multiple development teams is a plus

Bonus points

• Experience with cloud platforms (AWS, Google Cloud Platform, or Azure).
• Proficiency in GitOps practices and CI/CD pipeline development and management.
• Observability and monitoring: Integration experience with observability tools (Prometheus, Grafana) and building instrumented, production-ready systems.
• LLM Infrastructure: Experience provisioning and managing Large Language Models through managed services (Azure OpenAI, Google Vertex AI, Amazon Bedrock).
• LLM Tooling: Hands-on experience with LLM gateways (LiteLLM) and agentic frameworks (LangGraph, LangSmith, or similar).
• Vector Systems: Practical experience with vector embedding models and vector databases (Pinecone, Weaviate, Milvus, pgvector).
• RAG Systems: Experience building Retrieval-Augmented Generation systems and evaluating both retrieval quality and generation performance.
• Cloud-native experience with services like Amazon SageMaker, Google Vertex AI, or Azure ML
• Familiarity with ML frameworks and tools: PyTorch, TensorFlow, scikit-learn
• Experience with data infrastructure: Redis, Elasticsearch, Apache Kafka.
• ML experiment tracking and model management: Weights & Biases, MLflow, KubeFlow.
• API development with FastAPI or similar frameworks.
• Java programming experience is a plus.

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.

Embrace the opportunity for personal and professional growth

Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more.

Be among like-minded people

Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Interview steps

• Pre-Screening with the recruiter
• Live Coding (up to 30 min)
• Tech Interview(ML Fundamentals, Software Engineering)(up to 60 min)
• ML System Design Interview (up to 45 min)
• Interview with Engineering Manager (60 min)

About Us

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. Now we are looking for a Senior ML Operations Engineer to join us as part of our team.

About the role

As a Senior ML Operations Engineer, you will support teams building and deploying AI-driven solutions, helping them overcome common challenges in the ML development, deployment, and support lifecycle. This role offers autonomy in decision-making, encouraging a proactive approach to solving complex issues and finding optimal solutions for scalable systems.

About the project

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more.

Team composition

1 Engineering Manager, 4 Senior ML Ops Engineers

Work Environment

The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.

As a qualified expert, You will

• Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation.
• Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment.
• Provide mentorship, technical guidance, and perform code reviews for team members.
• Design and deliver on projects end-to-end with little to no guidance.
• Provide support to teams building and deploying AI applications by addressing common pain points in the MLDLC.
• Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities.
• Support the vision and values of the company through role modeling and encouraging desired behaviors.
• Participate in various cross-functional company initiatives and projects as requested.
• Contribute to strategic planning in a way that ensures the team is building exceptional products that bring real business value.
• Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance.

We’re looking for you if you have

• Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or equivalent practical experience).
• 5+ years of hands-on software development experience with Python (Java experience with strong Python proficiency also considered).
• 4+ years of experience designing and building distributed software systems and architectures.
• 3+ years of hands-on experience deploying and operating Machine Learning services in production.
• Experience supporting ML lifecycle operations including post-deployment monitoring and maintenance.
• Experience in cloud-native stack, with a practical understanding of containerization technologies such as Kubernetes and Docker.
• Demonstrated experience with SQL and NoSQL database design and implementation.
• Ability to decompose complex problems into iterative, well-defined solutions.
• Strong problem-solving abilities with focus on building scalable, efficient, and maintainable systems.
• Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions.
• Ability to be a team player who can also work independently.
• Experience working across multiple development teams is a plus.

Bonus points

• Experience with cloud platforms (AWS, Google Cloud Platform, or Azure).
• Proficiency in GitOps practices and CI/CD pipeline development and management.
• Observability and monitoring: Integration experience with observability tools (Prometheus, Grafana) and building instrumented, production-ready systems.
• LLM Infrastructure: Experience provisioning and managing Large Language Models through managed services (Azure OpenAI, Google Vertex AI, Amazon Bedrock).
• LLM Tooling: Hands-on experience with LLM gateways (LiteLLM) and agentic frameworks (LangGraph, LangSmith, or similar).
• Vector Systems: Practical experience with vector embedding models and vector databases (Pinecone, Weaviate, Milvus, pgvector).
• RAG Systems: Experience building Retrieval-Augmented Generation systems and evaluating both retrieval quality and generation performance.
• Cloud-native experience with services like Amazon SageMaker, Google Vertex AI, or Azure ML
• Familiarity with ML frameworks and tools: PyTorch, TensorFlow, scikit-learn
• Experience with data infrastructure: Redis, Elasticsearch, Apache Kafka.
• ML experiment tracking and model management: Weights & Biases, MLflow, KubeFlow.
• API development with FastAPI or similar frameworks.
• Java programming experience is a plus.

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.

Embrace the opportunity for personal and professional growth

Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more.

Be among like-minded people

Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Interview steps

• Pre-Screening with the recruiter
• Live Coding (up to 30 min)
• Tech Interview(ML Fundamentals, Software Engineering)(up to 60 min)
• ML System Design Interview (up to 45 min)
• Interview with Engineering Manager (60 min)

About Us

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Senior Engineering Manager to join us as part of our team.

About the role

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. As a member of the Product and Engineering team at PitchBook, you will be part of a group of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation. As a Senior Engineering Manager in the Technology & Engineering division, you will be responsible for managing and growing several self-organized engineering teams, driving delivery excellence, and representing development direction at a strategic level. You will collaborate closely with engineering leads, product managers, and senior stakeholders to ensure alignment, performance, and team success. Tech Stack: Java, Python, TS/JS/React, GCP, Vertex AI, AWS, Bedrock etc Team setup: 2-5 teams Work Environment: ​​flexible

As a qualified expert You will

• Manage and grow multiple engineering teams and their leaders within a business unit or product area.

• Cultivate technical excellence and a culture of continuous learning across teams.

• Participate in and supervise discussions on key technical decisions, delivery expectations, and people allocation.

• Represent the development direction at the strategic (VP) level, including plans, results, metrics, and capabilities.

• Drive AI tool adoption to improve team efficiency and delivery speed.

• Encourage learning through AI-assisted development and automation.

• Coach teams on best practices for software delivery, estimation, stakeholder communication, and continuous improvement.

• Ensure clear goals, priorities, and resource allocation while maintaining technical excellence and innovation.

• Foster a culture of trust, transparency, collaboration, and constructive feedback.

• Maintain high morale and motivation, especially during challenging circumstances.

• Balance business, team, and individual needs through effective communication and decision-making.

• Recognize team achievements and help teams learn from challenges or failures.

• Manage staffing, including hiring new team members aligned with company values and culture.

• Monitor and assess team performance, conduct performance reviews, and ensure fair compensation processes.

• Support the adoption of DevOps practices and modern engineering methodologies.

We’re looking for you if you have

• Mature understanding of the manager’s role, with a strong product- and results-oriented mindset, demonstrating strong ownership and focus on delivering outcomes.

• 7+ years of hands-on experience in software development, primarily with the Java stack.

• 3+ years of experience managing one or more engineering teams (25+ individuals) in a modern software development environment.

• Strong understanding of modern software development processes, frameworks, and their practical trade-offs.

• Knowledge of contemporary software engineering technologies and their applications to real-world problems.

• Understanding of AI tools, prompting, and workflow automation in software engineering.

• Ability to assess AI outputs and apply them to improve efficiency and quality.

• Familiarity with DevOps culture and practices.

• Strong interpersonal skills combining empathy, business acumen, and the ability to set expectations and provide feedback.

• Open-mindedness, willingness to learn, and courage to make progress-driving decisions.

• Excellent written and verbal communication skills in English.

Bonus points

• Experience leading the development of complex, distributed software systems requiring deep domain or technical expertise.

• Experience with Agile or other value-stream-based framework transformations.

• Proven success in building high-performing software development teams from the ground up.

• Experience managing teams using metrics related to motivation, performance, and time.

What’s in it for You

Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work. Embrace the opportunity for personal and professional growth Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more. Be among like-minded people Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Interview steps

• Pre-Screening with the recruiter

• Manager screening

• Tech Interview

• HR Interview

• Interview with Managing Director

• Product Interview (Client)

• Interview with VP, Technology & Engineering (Client)

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Solution Architect (Pre-Sales, Delivery & AI Enablement) to join us as part of our team. About the role This is an internal architecture role at the intersection of pre-sales, delivery and AI enablement. Around 60% of our incoming pre-sales requests now involve AI/ML (OCR, Computer Vision, fraud detection, RAG and agentic solutions), so we need an architect who can shape, challenge, estimate and sell these solutions — not a narrow ML specialist. You will work across multiple engagements and domains rather than a single product, and collaborate closely with our in-house ML/MLOps team rather than owning deep ML modelling yourself. The role has three focuses:

• Pre-Sales & Estimation — shaping and defending solutions and estimates for new engagements.
• Solution Architecture & SDLC ownership — owning end-to-end architecture and the overall target-architecture vision across engagements.
• AI Enablement — helping teams adopt AI-assisted development: selecting the right tools/harness per project, onboarding, upskilling, and monitoring adoption.
• Technical stack
• Languages & platforms: Java, C#, Python, Node.js — multi-stack breadth, without being locked into one ecosystem.
• Architecture & integration: microservices, event-driven and messaging patterns, scalable APIs, enterprise integrations, data-analytical systems.
• Cloud: AWS, GCP or Azure; managed IaaS/PaaS/SaaS services.
• Containers & orchestration: Docker, Kubernetes.
• Data & search: PostgreSQL, MS SQL, distributed caching and replication (Redis), enterprise search (Elasticsearch), vector stores for retrieval.
• AI/GenAI: LLM orchestration, multi-agent frameworks, RAG pipelines, evaluation and guardrails; OCR/Computer Vision and fraud-detection solutions delivered together with ML engineers.
• AI-assisted development: AI coding tools and harnesses (e.g., BMAD, Spec Kit), agentic workflows, context management.
• Architecture practices: ADRs, target/transition-state and system diagrams, NFRs and the “-ilities”, secure-by-design, CI/CD.

Work Environment Fully remote, with a flexible schedule and the requirement to attend all key team and client meetings.

1. Pre-Sales & Estimation
   • Lead the technical discovery process and design robust, scalable, cost-effective solutions for proposals, RFI/RFP responses and new client engagements.
   • Own estimation end-to-end: turn Sales’ discoveries into engineering-grounded estimates; challenge and correct estimates that are not grounded in real delivery effort.
   • Act as the bridge between Sales and Delivery — ensure estimates reflect engineers’ input and that the delivery team understands and can execute what was sold.
   • Prepare technical sections of proposals: solution descriptions, architecture diagrams, assumptions, risks and delivery approach.
   • Be the primary technical point of contact for prospective clients, clearly articulating the solution, technology stack and implementation strategy to technical and non-technical stakeholders.
   • Produce an architecture vision, roadmap, MVP definition and high-level delivery plan during discovery/inception.
   • Where AI/ML is involved, scope and estimate it correctly, working with our in-house ML engineers for deep modelling input.
2. Solution Architecture & Delivery
   • Own and evolve the end-to-end architecture of solutions (backend services, data storage, integrations, cloud infrastructure), explicitly addressing the “-ilities”: scalability, availability, recoverability, maintainability, extensibility, portability, usability and security.
   • Hold and promote the target architecture vision across the portfolio; run architecture reviews and design workshops with delivery teams.
   • Drive system evolution toward well-defined target and transition (interim) states, using system diagrams that give engineering teams a clear, actionable execution path.
   • Propose pragmatic, balanced technical decisions in areas such as build vs. buy, now vs. later and refactor vs. rebuild, and document the trade-offs behind them.
   • Define and maintain architecture artefacts: high-level and system diagrams, data flows, non-functional requirements, technical guidelines and ADRs — and author AI-ready solution specifications as part of the design lifecycle.
   • Provide hands-on guidance: design sessions, review of critical technical decisions and PRs, spikes and PoCs when needed.
   • Ensure the solution meets scalability, security, availability and cost-efficiency expectations, and simplify otherwise complex problems into pragmatic designs.
   • Participate in starting new projects from scratch: scope, architecture approach, MVP slice and key technical decisions.
3. AI Enablement (a key differentiator for this role)
   • Understand AI-assisted development deeply: how agents and agentic workflows work, how LLMs behave, context management, and the trade-offs/gaps of AI coding tools and harnesses (e.g., BMAD, Spec Kit) — including limitations such as incomplete TDD, combined dev+test single-agent roles, and context handling.
   • Recommend which AI dev tools/harness fit which class of project, phase and SDLC — and where they do not; identify gaps and judge whether they are critical for a given project.
   • Customize and guide the harness and agent setup to fit a team’s SDLC, rather than blindly adopting a ready-made flow.
   • Support AI enablement across projects: initial guidance, onboarding of teams (incl. SPD Labs), upskilling engineers and AI champions, and monitoring adoption while answering questions along the way.
   • Drive system innovation by leveraging AI as a core enabler — prototyping high-impact capabilities to prove technical feasibility and steer future-ready architectural directions.
   • Provide early, defensible ballpark estimates using AI tooling to help qualify opportunities before deeper discovery.
   • We’re looking for you if you have
   • 7+ years of hands-on software development experience with strong core engineering principles, including 3+ years designing complex software architectures for multi-stack environments.
   • Broad, hands-on engineering experience across the full SDLC: distributed systems, cloud-native architectures, scalable APIs, data-driven solutions and enterprise integrations.
   • Practical experience designing data solutions across relational databases, distributed caching, replication and enterprise search engines.
   • Experience architecting on at least one major cloud platform using containerization and orchestration, plus a working map of managed cloud services and the habit of continuously learning new platforms, frameworks and libraries — commercial and open source.
   • Practical, hands-on understanding of AI/GenAI and agentic development — agents, LLM behaviour, context management, AI coding harnesses and their trade-offs. This is central to the role.
   • Ability to work effectively alongside ML engineers on AI/ML solutions (OCR/Computer Vision, fraud detection, RAG, agentic) — enough to scope, challenge and estimate, without being a deep ML modelling specialist.
   • A disciplined approach to architectural decision-making: systematically evaluating trade-offs, risks and technology pros/cons to deliver resilient, cost-effective solutions.
   • Strong estimation skills and the ability to defend estimates to both Sales and Delivery.
   • Proven ability to manage stakeholder expectations and build cross-organizational alignment, adapting from deep technical dives with engineers to non-technical dialogue with senior stakeholders.
   • Excellent communication and client-facing skills; people-oriented and comfortable guiding, onboarding and upskilling engineers — enablement is a core part of the job.
   • Strong analytical and problem-solving skills, with the ability to define technical solutions under tight deadlines and vague requirements.
   • Prior experience in pre-sales, technical discovery or solution consulting.
   • Experience coaching engineering teams and growing their ability to make high-quality autonomous software-design decisions.
   Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work. Embrace the opportunity for personal and professional growth Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more. Be among like-minded people Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program. Interview Steps:

• Pre-screening with recruiter

• Technical Screening.

• Technical Interview

• Manager Interview

• Interview with BizDev & Sales.

• Executive Interview.

Oksana Shulha Senior Talent Acquisition Specialist

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Staff Architect (Senior Solution Architect) to join us as part of our team.

About the project:

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights /Company profiles / Workflow & efficiency / Many more.

Our Tech Stack & Focus Areas

Java, Spring, React, Typescript, Apache Beam, Flink, LangGraph, GCP/AWS, K8s

Work Environment

Flexible schedule with participation in team ceremonies and cross-functional collaboration. Time zone: Europe/Kyiv.

As a qualified expert, You will:

• Translate high-level business initiatives into concrete architectural vision and technical standards, collaborating closely with Product and Engineering to design cost-efficient, scalable solutions that maximize customer value
• Devise technology and architecture solutions that propel engineering excellence across the organization, simplify otherwise complex problems, and address the “-ilities” (portability, usability, maintainability, scalability, recoverability, availability, extensibility, and security)
• Author AI-ready solution specifications as a part of the design lifecycle, actively participating in AI-enabled workflows and continuously integrating modern tools into the architectural process
• Drive system evolution toward well-defined target and transition (interim) states, utilizing robust system diagrams to convey clear, actionable execution paths for engineering teams
• Describe technical context in intuitive ways for different audiences, adapting communication from highly technical deep dives with engineers to non-technical dialogue with senior stakeholders
• Drive system innovation by leveraging AI as a core enabler, prototyping high-impact capabilities to prove technical feasibility and steer future-ready architectural directions
• Learn constantly, including in available cloud managed services (PaaS/SaaS/IaaS), libraries, frameworks and platforms (commercial and open source)
• Propose pragmatic, organized, and balanced technical decisions in areas such as build vs. buy, now vs. later, and refactor vs. rebuild
• Provide and oversees high-level estimates for scoping non-trivial feature
• Coach engineering teams, grow their level constantly and enable them making high-quality autonomous decision in the software design

We’re looking for you if you have

• 7+ years of hands-on software development experience with strong core engineering principles
• 3+ years of experience in designing complex software architectures for the multi-stack environment (e.g., Java, C#, Python microservices, data analytical systems, AWS/GCP/Azure)
• Exceptional written and verbal communication skills, acting as a trusted partner to both Product Management and Engineering – capable of articulating technical vision clearly to any audience while actively listening and synthesizing feedback to refine solutions
• A strong, disciplined approach to architectural decision-making, systematically evaluating technical trade-offs, risks, and technology pros/cons to deliver resilient, cost-effective platform solutions
• Proven capability to manage stakeholder expectations, build cross-organizational alignment, and articulate technical trade-offs to business and engineering leadership
• Practical experience designing data solutions across relational databases, distributed caching, replication, and enterprise search engines (e.g., PostgreSQL, MS SQL, Redis, Elasticsearch)
• Experience architecting on major cloud platforms (e.g., AWS, GCP, or Azure) using containerization and orchestration technologies like Docker and Kubernetes
• Prior experience in pre-sales, technical discovery, or solution consulting is considered a strong plus
• Hands-on experience driving AI enablement initiatives and architecting agentic AI systems (e.g., multi-agent frameworks, LLM orchestration) is considered a strong plus
• English — Upper Intermediate or higher; Ukrainian — fluent.

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.

Embrace the opportunity for personal and professional growth

Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more.

Be among like-minded people

Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Interview Steps:

• Pre-screening with recruiter
• Technical Interview
• Manager Interview
• HR BP Interview
• Final сlient Interview