engineering
Posted Apr 21Full Stack Engineer - Observability
at LaunchDarkly
United StatesRemote
Responsibilities
- Expand Vega beyond Observability into Feature Management, including the flag cleanup agent as a cross-product capability
- Support enterprise capabilities for the Observability platforms: building data import and export pipelines to connect O11y to other platforms and enabling new customer workflows.
- Build a platform that other teams can contribute to—defining contribution patterns, shared infrastructure, and safe, sandboxed AI agent execution
- Enable dashboard creation via natural language prompts, using existing Vega infrastructure as a foundation
- Consolidate Vega usage into fewer, higher-value surfaces, enabling faster iteration and justifying a usage-based monetization model
- Run experiments to expose Vega to mainstream FM customers across core workflows, measuring adoption and informing monetization
- Design, build, and ship full-stack features across the Vega platform (UI, APIs, backend services, and agent infrastructure)
- Own features end-to-end: from prototype and API design through production rollout and iteration
- Collaborate cross-functionally with product managers, designers, and engineers across Observability and Feature Management
- Write well-tested, maintainable code and promote best practices for quality, observability, and reliability
- Mentor teammates and contribute to a collaborative, high-trust engineering culture
Requirements
- LaunchDarkly is looking for a Full Stack Engineer to help build and expand Vega, our AI-powered platform that surfaces insights and automates actions across LaunchDarkly products.
- You'll build the surfaces, APIs, and agent infrastructure that make Vega and the whole Observability platform broadly valuable—enabling capabilities like AI-driven dashboard creation, flag cleanup automation, and sandboxed agent execution.
- You'll work across the full stack (React/TypeScript UI, Go services, data pipelines) and collaborate closely with product, design, and other engineering teams to shape how AI capabilities land across LaunchDarkly.
- Proficiency across the full stack—comfortable in TypeScript/React on the frontend and Go (or similar) on the backend •
- Experience building or integrating LLM-powered features, agents, or AI-driven workflows