Full Stack Engineer - Observability

LaunchDarkly
Remote - US$137k – $188kPosted 4 April 2026

Job Description

About the Job: 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. 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 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. Additionally, you’ll work on other Enterprise-grade capabilities for the Observability platform to help drive customer activation and success. What You'll Work On: 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 Partner with product and design to ensure Vega capabilities are intuitive, well-integrated, and impactful for end users Contribute to architecture decisions, code reviews, and engineering standards across the Observability and Vega teams Responsibilities: 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 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 About You: 3+ years of professional software engineering experience, with a track record of shipping production-quality full-stack features 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 Strong product instincts: you care about user experience 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, experimentation platforms, or developer tooling is a plus Pay: Target pay ranges based on Geographic Zones* for Level 2: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $136,500 - $187,660** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $122,800 - $168,850** Zone 3: All other US locations - $ 116,000 - $159,500 * LaunchDarkly ... (truncated, view full listing at source)
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