
Sr. Java Full Stack Engineer
PitchBook Data5 days ago
Base Salary
$175k - $215k/yr
Responsibilities
- Design, implement, and maintain backend services and data pipelines that ingest, transform, enrich, and index large-scale company and person data.
- Own system components end to end from requirements and design through implementation, testing, deployment, and production support.
- Write efficient, testable code meeting performance, scalability, reliability, and quality standards.
- Contribute to architecture and technical design discussions, evaluate tradeoffs, and advocate for sound engineering decisions.
- Conduct code reviews and provide meaningful technical feedback to peers.
- Support production systems through deployments, troubleshooting, and incident response.
- Apply AI tooling to improve development, testing, and delivery efficiency and experiment with LLM-powered capabilities where relevant.
- Collaborate with engineers, product managers, and data science partners in an Agile environment.
- Support company initiatives and role-model desired behaviors and values.
Requirements
- Bachelor’s degree in Computer Science or Information Systems.
- At least 5 years of software engineering experience, predominantly in backend systems.
- At least 5 years of Java development experience, including production microservices.
- At least 4 years of experience with Spring Boot or Spring Framework.
- Strong experience with Kafka or comparable streaming and messaging platforms.
- Experience with PostgreSQL or other relational databases at meaningful data volumes.
- Hands-on experience with Elasticsearch or comparable search and indexing platforms.
- Experience with large-scale data ingestion, transformation, or enrichment pipelines; entity resolution, deduplication, or data quality experience is a plus.
- Experience with Docker and Kubernetes in production environments.
- Experience with AWS and/or GCP.
- Proficiency in RESTful API design and unit and integration testing.
- Understanding of distributed-systems concepts including fault tolerance, eventual consistency, backpressure, and at-least-once delivery.
- Familiarity with domain-driven design and service-oriented architecture patterns.
- Ability to evaluate and pragmatically apply AI and LLM tools.
- Strong written and verbal communication skills.
- Must be authorized to work in the United States without current or future visa sponsorship.
- Must be able to work onsite in Seattle.
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, vacation, sick, and volunteer days.
- Annual educational stipend, tuition reimbursement eligibility, CFA exam stipend, and training programs.
- Employee assistance program, employee resource groups, matching gifts, and company events.
- Subsidized emergency childcare and Dependent Care FSA.
- 401(k) match, shared ownership employee stock program, monthly transportation stipend, and employee referral bonus program.
- Expected to work onsite in the Seattle office five days per week; limited corporate travel may be required.
Tech Stack
Categories
BackendData Engineering