[Hiring] Software Development Engineering Lead @SPD Technology

Role Description

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.

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.

Qualifications

• 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.

Benefits

• Reveal great tech solutions.
• Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth.
• 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.
• 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.
• Work with a team of one mind who cares about what they do and how they do.
• Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values.

Interview Steps

• Interview with the Recruiter.
• Manager Screening.
• Technical Interview.
• Final Interview.