Backend Engineer, Observability
LaunchDarkly · USA
About this role
## About the Job LaunchDarkly is looking for a **Backend Engineer** to help build and expand **Vega**, an AI-powered platform that surfaces insights and automates actions across LaunchDarkly products. This is a **greenfield** opportunity: you’ll evolve Vega from an **Observability-focused assistant** into a **cross-product platform** for Feature Management customers, and help power a **new usage-based SKU**. You’ll build the **APIs, services, and agent infrastructure** that make Vega—and the broader Observability platform—valuable at scale. This includes capabilities like **AI-driven dashboard creation**, **flag cleanup automation**, and **safe, sandboxed agent execution**. You’ll primarily work with **Go services and data pipelines**, collaborating closely with product, design, and engineering teams to shape how AI capabilities land across LaunchDarkly. ## Responsibilities - Design, build, and ship backend features across the Vega platform (APIs, Go services, agent infrastructure, and data pipelines) - Own features end-to-end (prototype → API design → production rollout → iteration) - Operate high-throughput data systems and keep them reliable, performant, and cost-efficient at scale - Collaborate cross-functionally with product managers, designers, and engineers across Observability and Feature Management - Participate in architecture discussions and technical design reviews, making sound trade-off decisions - 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 - Participate in on-call rotations and take ownership of production reliability for your features ## What You’ll Work On - Expand Vega beyond Observability into **Feature Management**, including the **flag cleanup agent** as a cross-product capability - Design and operate **safe, sandboxed AI agent execution** infrastructure (isolation, resource limits, permissions, auditability) - Support enterprise capabilities for the Observability platform (data import/export pipelines and new customer workflows) - Build a platform other teams can contribute to (contribution patterns, shared services, and APIs for agent capabilities) - Power **dashboard creation via natural language prompts**, extending Vega infrastructure with new tools, context, and evaluation - Build **metering and usage pipelines** to enable a usage-based monetization model for Vega - Contribute to architecture decisions, code reviews, and engineering standards across the Observability and Vega teams
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