Staff Backend Engineer
B
BestowLife insurance
Remote, USFull-TimeStaff
Salary$202K - $237.5K; $202K – $237.5K • Offers Equity • Starting compensation may vary based on geographic location, work experience, and skills.
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Job Details
- Experience
- 8+ years of professional backend software development experience
- Required Skills
- Backend DevelopmentDockerPostgreSQLPythonGCPJavaKubernetesGoMicroservicesDistributed Systems
Requirements
- 8+ years of professional backend software development experience; you've operated at the Staff or Senior level before
- Strong proficiency in Go and Python; Java experience is a plus
- Deep experience with distributed systems, microservices, and API design (Protocol Buffers, OpenAPI)
- Comfortable with PostgreSQL or other relational databases at scale
- Hands-on with cloud infrastructure — Kubernetes, Docker, GCP (or equivalent)
- Proven track record building, deploying, and troubleshooting production services end-to-end
- You seek out problems before they find you — proactively identifying risks, proposing solutions, and driving them to completion
- You write maintainable, well-tested software and hold yourself and your peers to a high quality bar
- Demonstrated experience with agentic AI coding tools (e.g., Claude Code, Cursor, Copilot) integrated into your daily workflow — not occasional use, but a deliberate practice
Responsibilities
- Own the technical architecture for IPC services, making design decisions that balance speed of delivery with long-term maintainability
- Design, build, and operate backend services using Python + PostgreSQL, Go, and a Java-based Drools rules engine
- Lead cross-team technical initiatives — coordinate with other Bestow engineering teams to plan and execute integration work across the platform
- Drive platform capabilities that scale with Bestow's growing partner ecosystem — new carrier onboardings, product launches, and configuration flexibility
- Mentor engineers on the team through code review, design review, and pairing — raise the technical bar without bottlenecking delivery
- Ensure production reliability: define SLOs, improve observability, and share on-call responsibility for IPC workloads
- Use agentic AI coding tools as a core part of your workflow and help the team adopt effective AI-assisted development practices
- Communicate technical decisions, trade-offs, and status clearly in writing — the team is remote-first and async-heavy
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