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 Software Development Engineering Lead to join us as part of our team. About Role You’ll join the new engineering team focused on modernizing how high-value private market data is collected, processed, validated, and delivered. The team will work on scalable, observable data workflows that improve data timeliness, quality, traceability, and downstream availability across PitchBook’s data ecosystem. 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. Our tech stack Java 17+, Spring/Spring Boot, Kubernetes, OpenAPI, PostgreSQL, Kafka, distributed systems, microservices, CI/CD, observability tooling, modern data platform integrations, and Gen AI-enabled engineering tools. Team 1 Lead, 3 Back End, 1 Full Stack, 1 Front End, 1 SDET, 1 PM Work Environment Flexible schedule with participation in team ceremonies and cross-functional collaboration. Time zone: Europe/Kyiv. As a qualified expert, You will: Lead technical delivery for complex data collection and processing workflows. Own solution design, technical documentation, code quality, maintainability, operability, and production readiness. Guide implementation of data ingestion, storage, validation, transformation, and provisioning capabilities. Drive strong SDLC execution across refinement, design, estimation, implementation, testing, deployment, and support. Improve team engineering productivity by adopting Gen AI coding tools and integrating them into practical SDLC workflows. Promote effective use of Gen AI for code generation, test creation, refactoring, documentation, debugging, and delivery acceleration. Establish engineering practices that balance AI-assisted development with code quality, security, maintainability, and human review. Partner with Product, Data, Architecture, Platform, SRE, and other engineering teams to align scope, dependencies, and delivery plans. Drive engineering practices such as code review, automated testing, observability, incident reduction, and CI/CD improvements. Mentor engineers, support onboarding, distribute technical work, and help raise team performance. Surface technical risks early and propose pragmatic mitigation options. Contribute to hiring and help shape the technical capability of the team. We’re looking for you if you have 5+ years of professional software development experience, with strong Java expertise. Experience leading technical delivery or mentoring engineers in a backend/data platform team. Strong knowledge of Spring/Spring Boot, microservices, distributed systems, API design, and relational databases. Experience with Kafka or similar messaging/event-streaming technologies. Practical experience with Kubernetes and production-grade service operations. Strong ownership mindset with focus on reliability, scalability, maintainability, and long-term technical health. Practical experience using Gen AI coding assistants to boost SDLC or strong interest in learning this skill. Ability to define pragmatic engineering guardrails for AI-assisted development, including review, testing, and documentation expectations. Ability to collaborate effectively with technical and non-technical stakeholders. Strong problem-solving skills and ability to make sound technical decisions in complex domains. English — Upper Intermediate or higher; Ukrainian — fluent. Bonus Points Experience improving SDLC productivity through Gen AI tools, developer automation, or platform engineering practices. Experience introducing AI-assisted workflows for code review, testing, refactoring, documentation, or incident analysis. Experience in data processing domains such as data ingestion, processing, curation, validation, or publication. Experience building platforms or services for workflow automation, data quality, or data operations. Experience with observability, SLIs/SLOs, incident management, and operational excellence. Experience migrating legacy workflows to modern data platforms. 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. Col