Backend Engineer, Observability

About the Job:

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.

Responsibilities:

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 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, contributing to 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, and auditability

Support enterprise capabilities for the Observability platform: 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 services, and APIs for agent capabilities

Power dashboard creation via natural language prompts, extending existing Vega infrastructure with new tools, context, and evaluation

Build the metering and usage pipelines that enable a usage-based monetization model for Vega

Contribute to architecture decisions, code reviews, and engineering standards across the Observability and Vega teams

About You:

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