Full Stack Engineer

Who you are

• 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

What the job involves

• 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
• 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
• 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

Benefits

• Full Vision
• Full Dental
• Full Medical
• Flexible Schedule
• Healthy Lunches & Snacks
• Conference & Meetup Access
• Education Stipend
• Personalized Work Station
• Close to Public Transportation
• Bike Parking
• Team Activities
• Unlimited paid time off policy
• Work from home opportunities
• Health insurance