[Hiring] Full Stack Engineer @LaunchDarkly

Role Description

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.

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

Qualifications

• 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

• 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

Benefits

• Restricted Stock Units (RSUs)
• Health, vision, and dental insurance
• Mental health benefits