LaunchDarkly
Backend Engineer, Flag Delivery
About this role
LaunchDarkly seeks a Backend Engineer to join the Flag Delivery team, building and operating critical backend services that power real-time data delivery at scale. You'll work on distributed systems with a senior team, focusing on production reliability, debugging, and modernization while leveraging AI as part of your engineering workflow.
What you'll do
- Build and improve backend services powering flag delivery systems and SDKs
- Debug production issues and enhance service reliability, latency, and availability
- Work with distributed systems patterns including caching, concurrency, and cloud infrastructure
- Collaborate with SDK, Platform, SRE, Security, and Enterprise teams on platform improvements
- Participate in on-call rotation and own the systems you build
- Learn existing architecture and make pragmatic improvements to clarity and performance
What they're looking for
- Backend software engineering (5+ years production experience)
- Go, Java, Rust, or similar backend languages
- Distributed systems fundamentals (caching, concurrency, failure modes)
- Production debugging and observability tools
- AI integration in engineering workflows with sound judgment
- System architecture and reasoning about code behavior
- Cross-team collaboration and communication
- On-call and production support
Benefits
- Competitive salary based on location ($145,500–$235,400)
- Restricted Stock Units (RSUs)
- Health, vision, and dental insurance
- Mental health benefits
- Remote work (US-based)
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LaunchDarkly
LaunchDarkly builds a platform for feature management, AI configuration, and observability that helps teams control, monitor, and safely deploy software. The company is hiring Full Stack Engineers, SDK developers, and security specialists to expand its core platform capabilities, including AI-powered onboarding, release safety monitoring, enterprise integrations, and developer security tooling.
- Website
- launchdarkly.com
Likely interview questions
- Walk us through a production issue you've debugged in a distributed system. What was your approach, and how did observability help you narrow it down?
- Describe your experience with caching layers in backend systems. What tradeoffs have you had to reason through, and how did you decide what to cache?