Full Stack 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 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 Familiarity with LaunchDarkly, feature flagging, or observability tooling is a plus Experience with usage-based product surfaces, sandboxing/isolation technologies, or developer tooling is a plus Pay: Target pay ranges based on Geographic Zones* for Level 3: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $171,200 - $235,400** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $154,100 - $211,860** Zone 3: All other US locations - $145,500