[Hiring] Full Stack Engineer - Observability @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.

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.

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, and mental health benefits in addition to salary.