Lead Software Development Engineer
PitchBook Data2 months ago
Base Salary
$190k - $230k/yr
Responsibilities
- Manage, mentor, and technically lead a small team of software engineers.
- Write production-grade Java backend code for services, pipelines, and APIs.
- Lead system design for ingestion pipelines, entity resolution, enrichment workflows, and search-indexing strategies.
- Own code quality, architecture decisions, performance, reliability, observability, and production stability.
- Collaborate with the engineering manager, product, and partner teams on requirements and technical direction.
- Drive technical-debt reduction, engineering best practices, and technical excellence.
- Own feature and release estimates, resource allocation, work distribution, and delivery against sprint and release goals.
- Ensure releases and features meet engineering architecture, quality, and reliability standards.
- Build robust and scalable software systems using cloud technology.
- Establish best practices around software development, microservices, and DevOps.
- Support company initiatives and values through role modeling and encouraging desired behaviors.
Requirements
- Bachelor’s degree in Computer Science or Information Systems.
- 7+ years of backend software engineering experience in Java on production systems at scale.
- 5+ years of cloud infrastructure experience, with GCP preferred and AWS acceptable.
- Must be authorized to work in the United States without needing visa sponsorship now or in the future.
- Must be able to work onsite in the Seattle office.
- Preferred experience includes technical leadership in a small, high-ownership team.
- Preferred experience with distributed data pipelines and streaming systems such as Kafka.
- Preferred hands-on experience with Elasticsearch or comparable search/indexing platforms.
- Preferred expertise with PostgreSQL or relational databases at meaningful data volumes.
- Preferred experience with large-scale data ingestion, transformation, enrichment, entity resolution, deduplication, or data-quality pipelines.
- Preferred production experience with Docker and Kubernetes.
- Strong system design experience with distributed systems, data modeling, API design, and fault tolerance.
- Experience using AI productivity tools such as GitHub Copilot or Claude.
- Object-oriented design experience, including Domain Driven Design, service-oriented architectures, distributed systems, testing, CI/CD, and Agile.
Benefits
- Comprehensive health benefits, medical wellness incentives, and short-term disability, long-term disability, AD&D, and life insurance.
- Paid sabbatical after four years, paid family and paternity leave, educational stipend, tuition reimbursement opportunities, CFA exam stipend, training programs, and an employee assistance program.
- Vacation, sick, and volunteer days; employee resource groups; matching gifts; subsidized emergency childcare; dependent-care FSA; company events; and team-building events.
- 401(k) match, shared-ownership employee stock program, monthly transportation stipend, and employee referral bonus program.
- Expected onsite work in the Seattle office five days per week, with limited corporate travel potentially required.
Tech Stack
Categories
About PitchBook Data
PitchBook Data builds a subscription platform, datasets, and research that track private and public capital markets for investors, bankers, and corporate development teams. Its products include the PitchBook Platform and API for company, deal, fund, and limited-partner data, plus analyst reports and benchmarks. Founded in 2007 and headquartered in Seattle, it operates as a Morningstar company.