Software Development Engineering Lead

We are looking for a Software Development Engineering Lead to join a team focused on modernizing high-value private market data collection and processing for PitchBook. The role involves leading technical delivery, driving engineering practices, and mentoring engineers in a backend/data platform team.

• 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

• 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

• Fully remote work with flexible schedule
• Stable workload and income
• Provided laptops and licensed software
• Performance and merit reviews
• Personal development plans
• Corporate library and public speaking support
• Referral bonus program