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 Team Lead, Java Engineering to join us as part of our team.
About the role
PitchBook is a leading financial data and software company that is transforming private and public equity markets. We provide clients with comprehensive, reliable, and actionable data, research, and insights to help them make confident investment decisions and stay ahead of the competition.
You will join a newly formed, cross-functional team responsible for end-to-end data integration across the platform, covering the full lifecycle – from data discovery and onboarding to processing, delivery, and ongoing support.
The team works closely with business stakeholders and external data providers to analyze and shape new data opportunities, including data mapping, design alignment, and provider negotiations.
A key focus is building scalable, high-performance data pipelines that handle ingestion, storage, transformation, and complex calculations. The team ensures data consistency and high quality across the platform, enabling seamless consumption by both internal and external stakeholders.
In addition, the team contributes to user-facing data experiences, including UI/UX aspects, and defines data contracts and integration pipelines for downstream consumers across the ecosystem.
This role combines technical leadership, team management, and hands-on engineering, requiring strong analytical thinking, ownership, and cross-functional collaboration.
Team setup: New team, 1 SDEL, 5-6 BE SDE, 1 FE SDE, 1 SDET
Tech Stack: Java 17/21, Spring Boot (MVC, JDBC, Security), PostgreSQL, ElasticSearch, Kafka, Docker, Kubernetes, Prometheus, Grafana
Work Environment: Flexible schedule with mandatory attendance for core team ceremonies (daily stand-ups, retros, and sprint planning). The environment emphasizes autonomy, deep technical ownership, and close collaboration with cross-functional teams.
As a qualified expert You will
- Lead, mentor, and grow a cross-functional engineering team
- Take ownership of team delivery, technical direction, and engineering quality
- Design and develop scalable backend services and data pipelines using Java
- Drive architectural decisions for distributed, data-intensive systems
- Collaborate with stakeholders to align on priorities, timelines, and delivery goals
- Work closely with adjacent teams to improve system integration and interoperability
- Ensure high standards in code quality, testing, and system reliability
- Improve development processes, CI/CD pipelines, and engineering practices
- Participate in hiring and team building, ensuring a strong and balanced team
- Promote adoption of AI tools and engineering productivity practices within the team
We’re looking for you if you have
Core Skills
- 5+ years of experience in software development, including 2+ years in a Team Lead role
- Experience in leading a remote team (4+ developers), collaborating with 3-rd party vendors
- Strong proficiency in Java (11+). Good OOP skills
- Solid experience with Spring Framework, Spring Boot 3, MVC\MVVM patterns
- Experience building data-intensive, scalable production systems
- Strong knowledge of SQL (PostgreSQL / MS SQL)
- Hands-on experience with message brokers (Kafka, RabbitMQ, SNS/SQS)
- Experience with microservices architecture and distributed systems
- Familiarity with cloud platforms (AWS or GCP)
- Profound understanding and active use of AI tooling to boost personal and team productivity. e.g., GitHub Copilot, ChatGPT, Claude Code, Gemini, MCP servers for coding, or AI-assisted testing/code review tools
- English Upper-Intermediate (B2 or higher); Ukrainian — fluent
Soft Skills
- Effective communication skills and experience collaborating with engineering, data, AI/ML, and product teams
- Strong sense of ownership and accountability
- Ability to drive technical discussions and make informed architectural decisions
- Enthusiasm for mentorship and knowledge sharing within the team
Nice to have Skills
- Familiarity with Docker, Kubernetes, Flux CD and CI/CD pipelines (GitLab, GitHub)
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
- Technical Interview (up to 2 hours)
- Interview with Engineering Manager (up to 60 min)