About the Job: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.ResponsibilitiesDesign, 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 iterationOperate high-throughput data systems and keep them reliable, performant, and cost-efficient at scaleCollaborate cross-functionally with product managers, designers, and engineers across Observability and Feature ManagementParticipate in architecture discussions and technical design reviews, contributing to sound trade-off decisionsWrite well-tested, maintainable code and promote best practices for quality, observability, and reliabilityMentor teammates and contribute to a collaborative, high-trust engineering cultureParticipate in on-call rotations and take ownership of production reliability for your featuresWhat You'll Work OnExpand Vega beyond Observability into Feature Management, including the flag cleanup agent as a cross-product capabilityDesign and operate safe, sandboxed AI agent execution infrastructure—isolation, resource limits, permissions, and auditabilitySupport enterprise capabilities for the Observability platform: building data import and export pipelines to connect O11y to other platforms and enabling new customer workflowsBuild a platform that other teams can contribute to—defining contribution patterns, shared services, and APIs for agent capabilitiesPower dashboard creation via natural language prompts, extending existing Vega infrastructure with new tools, context, and evaluationBuild the metering and usage pipelines that enable a usage-based monetization model for VegaContribute to architecture decisions, code reviews, and engineering standards across the Observability and Vega teamsAbout You:5+ years of professional software engineering experience, with a track record of shipping production-quality backend systemsProficient in Go (or a similar language like Java, Rust, or C++) and experienced designing APIs and distributed servicesExperience building or integrating LLM-powered features, agents, or AI-driven workflowsExperience with data-intensive systems—streaming pipelines, columnar stores (e.g., ClickHouse), or high-volume ingest is a strong plusStrong product instincts: you care about how your systems are used and can translate ambiguous requirements into clean, well-scoped solutionsCollaborative and communicative—you work well across teams and functions, and you're comfortable navigating ambiguityFamiliarity with LaunchDarkly, feature flagging, or observability tooling is a plusExperience with usage-based product surfaces, sandboxing/isolation technologies, or developer tooling is a plusAbout LaunchDarkly:Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:Improving the velocity and stability of software releases, without the fear of end customer outagesDelivering targeted experiences by easily personalizing features to customer cohortsMaximizing the business impact of every feature through the ability to experiment and optimizeCoordinating the release and optimization of software to provide consistent experiences across mobile platforms and device typesImproving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
7 days ago