Full Stack Engineer, Observability
Build backend APIs, Go services, data pipelines, and sandboxed AI-agent infrastructure for Vega and LaunchDarkly’s Observability platform. The role requires 5+ years of software engineering experience, distributed-systems expertise, and experience with LLM-powered features.
About the job
Responsibilities
- Design, build, and ship backend features across the Vega platform, including APIs, Go services, agent infrastructure, and data pipelines.
- Own features end to end, from prototyping and API design through production rollout and iteration.
- Operate high-throughput data systems reliably, efficiently, and cost-effectively at scale.
- Collaborate with product managers, designers, and engineers across Observability and Feature Management.
- Participate in architecture discussions, technical design reviews, code reviews, and engineering standards.
- Write well-tested, maintainable code and promote quality, observability, and reliability best practices.
- Mentor teammates and contribute to a collaborative engineering culture.
- Participate in on-call rotations and own production reliability for delivered features.
- Expand Vega into Feature Management, including flag-cleanup capabilities.
- Design and operate safe, sandboxed AI-agent execution infrastructure with isolation, resource limits, permissions, and auditability.
- Build data import and export pipelines connecting Observability with other platforms.
- Define contribution patterns, shared services, and APIs for agent capabilities.
- Extend Vega infrastructure for natural-language dashboard creation with tools, context, and evaluation.
- Build metering and usage pipelines supporting usage-based monetization.
Requirements
- 5+ years of professional software engineering experience shipping production-quality backend systems.
- Proficiency in Go or a comparable language such as Java, Rust, or C++.
- Experience designing APIs and distributed services.
- Experience building or integrating LLM-powered features, agents, or AI-driven workflows.
- Strong product judgment and ability to translate ambiguous requirements into well-scoped solutions.
- Strong collaboration and communication skills.
Nice-to-haves
- Experience with data-intensive systems, including streaming pipelines, columnar stores such as ClickHouse, or high-volume ingest.
- Familiarity with LaunchDarkly, feature flagging, or observability tooling.
- Experience with usage-based product surfaces, sandboxing or isolation technologies, or developer tooling.
Compensation
- Zone 1: $171,200–$235,400 (San Francisco/Bay Area, New York City metropolitan area, Boston, or Seattle).
- Zone 2: $154,100–$211,860 (Irvine, Los Angeles, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, or Chicago).
- Zone 3: $145,500–$200,090 (all other United States locations).
- Additional compensation and benefits may include restricted stock units, health, vision, dental, and mental health benefits.
Skills
Go, Java, Rust, C++, API Design, Distributed Systems, LLMs, AI Agents, Streaming Pipelines, ClickHouse, Data Pipelines, Sandboxing, Observability
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