Sr. Java Full Stack Engineer
$175,000–$215,000 year
On-siteSeattle, Washington, United States
Job Summary
Design and maintain backend services and data pipelines that ingest, transform, enrich, and index large-scale company and person data across PitchBook's customer-facing products. Own features and system components end-to-end, from requirements through design, implementation, testing, and production support. Write efficient, testable code that meets performance, scalability, and reliability standards while contributing to architecture discussions and identifying tradeoffs. Perform code reviews, provide technical feedback, and support production systems including deployments, troubleshooting, and incident response. Apply AI tooling to improve development efficiency and collaborate with engineers, product managers, and data science partners in an Agile environment. This backend-heavy role focuses on solving data problems involving scale, correctness, latency, and quality for a distributed platform processing billions of records.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, or a similar field
- 5+ years of software engineering experience, predominantly in backend systems
- 5+ years of Java development experience, including production microservices
- 4+ years with Spring Boot / Spring Framework
- Must be authorized to work in the United States without the need for visa sponsorship now or in the future
- This role is expected to be in the office 5 days a week
- Limited corporate travel may be required to remote offices or other business meetings and events
Desired Qualifications
- Strong experience with Kafka or comparable streaming/messaging platforms
- Solid experience with PostgreSQL or other relational databases at meaningful data volumes
- Hands-on experience with Elasticsearch or comparable search and indexing platforms
- Familiarity with large-scale data ingestion, transformation, or enrichment pipelines — entity resolution, deduplication, or data quality work is a strong plus
- Experience with containerization and orchestration (Docker, Kubernetes) in production environments
- Experience with AWS and/or GCP
- Proficient in RESTful API design
- Experience with unit and integration testing; strong belief in test coverage as a quality bar
- Comfortable working with distributed systems concepts: fault tolerance, eventual consistency, backpressure, at-least-once delivery
- Familiarity with domain-driven design and service-oriented architecture patterns
- Literate in the AI/LLM space — able to evaluate tools, run experiments, and apply them pragmatically without waiting to be told to
- Excellent written and verbal communication skills; able to articulate technical decisions clearly to peers and non-technical stakeholders
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