Sr. Software Development Engineer, Full Stack

5 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 features and system components from requirements and design through implementation, testing, and production support.
Write efficient, testable code meeting performance, scalability, and reliability standards.
Contribute to architecture and technical design discussions and advocate for sound engineering tradeoffs.
Perform code reviews and provide technical feedback to peers.
Support deployments, troubleshooting, production systems, and incident response.
Apply AI tooling to improve development, testing, and delivery efficiency and experiment with LLM-powered platform capabilities.
Collaborate with engineers, product managers, and data science partners.
Support company initiatives and model desired company values and behaviors.

Bachelor’s degree in Computer Science or Information Systems.
5+ years of software engineering experience, predominantly in backend systems.
5+ years of Java development experience, including production microservices.
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.
Familiarity with large-scale data ingestion, transformation, or enrichment pipelines; entity resolution, deduplication, or data quality experience is preferred.
Production experience with Docker and Kubernetes.
Experience with AWS and/or GCP.
Proficiency in RESTful API design and experience with unit and integration testing.
Comfort with 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 AI/LLM tools, run experiments, and apply them pragmatically.
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.

Comprehensive health benefits, medical wellness incentives, STD, LTD, 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, CFA exam stipend, and training programs.
Employee assistance program, employee resource groups, matching gifts, emergency childcare, and Dependent Care FSA.
401k match, shared ownership employee stock program, monthly transportation stipend, and employee referral bonus program.
Company events and quarterly team-building events.
This role is expected to work onsite in the Seattle office five days per week; limited corporate travel may be required.

1,001-5,000 employees