Note: The job is a remote job and is open to candidates in USA. LaunchDarkly is a software delivery platform that helps engineering teams release features safely, target customer experiences, and improve software delivery effectiveness. The Full Stack Engineer, Observability will build backend APIs, Go services, agent infrastructure, and data pipelines for Vega, an AI-powered platform, while supporting enterprise Observability capabilities and collaborating across product and engineering teams.
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
- 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
Skills
- 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
Benefits
- Restricted Stock Units (RSUs)
- Health insurance
- Vision insurance
- Dental insurance
- Mental health benefits
Company Overview
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