Backend engineer building and operating real-time flag delivery services at scale. Requires 5+ years production backend experience, strong Go/Java/Rust skills, distributed systems knowledge, and demonstrated AI fluency in engineering work.
146k – 235k
Remote5+ YOEBackend Engineering
About the role
Responsibilities
Build, improve, and operate backend services that power LaunchDarkly’s Flag Delivery systems.
Contribute to systems that support streaming and polling delivery models for LaunchDarkly SDKs.
Debug production issues, improve service reliability, and help the team maintain strong standards around latency, availability, observability, and operability.
Work with technologies and patterns common to modern distributed backend systems, including caching layers, network services, concurrency, failure handling, and cloud infrastructure.
Collaborate closely with partner teams including SDK, Platform, SRE, Security, and Enterprise to deliver improvements across the broader platform.
Participate in the on-call rotation and take ownership of the systems you help build.
Learn the existing architecture deeply and make pragmatic improvements that increase system clarity, performance, and maintainability.
Use AI as part of your engineering workflow with sound judgment, including knowing when to use it, how to direct it effectively, and how to verify or reject its output.
Reason clearly about code, architecture, and whole-system behavior even when AI is in the loop.
Requirements
5+ years of backend software engineering experience.
Experience building or operating production backend systems.
Strong programming skills in Go, Java, Rust, or a similar backend language (team primarily uses Go, with some Rust).
Clear, existing AI usage in engineering work.
Ability to use AI without surrendering technical judgment.
Familiarity with distributed systems fundamentals such as caching, concurrency, failure modes, and reliability.
Experience debugging production issues and using observability to understand system behavior.
Ability to reason clearly about code, architecture, and system behavior.
Strong learning orientation and comfort working with senior engineers.
Strong collaboration and communication skills, with the ability to work well across engineering teams.
Willingness to participate in on-call and production support.
Nice-to-Haves
Kind, coachable, and excited to learn from senior engineers.
Enjoy understanding how real systems behave in production.
Curious about scale, failure, caching, delivery, and operability.
Energized by debugging, tradeoffs, and steadily improving systems over time.
Bring real backend or infrastructure ownership, not just feature implementation.
Care about writing software that is maintainable, observable, and dependable.
Builds and maintains feature-rich open-source AI SDKs in Python and TypeScript for GenAI feature control, monitoring, and optimization. Requires 5+ years experience with these languages, AI SDK familiarity, strong testing skills, and open-source contributions.
146k – 235k
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