LaunchDarkly helps teams safely manage code and AI agents in production with feature flags, progressive delivery, automated rollback, and runtime control. Backed by Bessemer, Insight and 500 Global.
About the role
LaunchDarkly is looking for a Backend Engineer to help build and expand Vega, our AI-powered platform that surfaces insights and automates actions across LaunchDarkly products. This is a greenfield opportunity: you'll help evolve Vega from an Observability-focused assistant into a cross-product platform that serves Feature Management customers and powers a new, usage-based SKU.
What they're looking for
- 5+ years of professional software engineering experience, with a track record of shipping production-quality backend systems
- Proficient in Go (or a similar language like Java, Rust, or C++) and experienced designing APIs and distributed services
- Experience building or integrating LLM-powered features, agents, or AI-driven workflows
- Experience with data-intensive systems—streaming pipelines, columnar stores (e.g., ClickHouse), or high-volume ingest is a strong plus
- Strong product instincts: you care about how your systems are used and can translate ambiguous requirements into clean, well-scoped solutions
- Collaborative and communicative—you work well across teams and functions, and you're comfortable navigating ambiguity
More about this role
LaunchDarkly is looking for a Backend Engineer to help build and expand Vega, our AI-powered platform that surfaces insights and automates actions across LaunchDarkly products. This is a greenfield opportunity: you'll help evolve Vega from an Observability-focused assistant into a cross-product platform that serves Feature Management customers and powers a new, usage-based SKU.
You'll build the APIs, services, and agent infrastructure that make Vega and the whole Observability platform broadly valuable—enabling capabilities like AI-driven dashboard creation, flag cleanup automation, and safe, sandboxed agent execution. You'll work primarily in Go services and data pipelines at significant scale, and collaborate closely with product, design, and other engineering teams to shape how AI capabilities land across LaunchDarkly. Additionally, you'll work on other Enterprise-grade capabilities for the Observability platform to help drive customer activation and success.
- Design, build, and ship backend features across the Vega platform (APIs, Go services, agent infrastructure, and data pipelines)
- Own features end-to-end: from prototype and API design through production rollout and...
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