LaunchDarkly - Full Stack Engineer, Observability

• Design and build full-stack features that address enterprise adoption requirements across Observability • Own integrations and infrastructure capabilities end-to-end—from API design and backend services to UI surfaces • Collaborate with product managers, designers, solutions engineers, and customers to understand enterprise requirements and deliver against them • Participate in architecture and design discussions, making well-reasoned trade-offs for scalability, reliability, and maintainability • Write well-tested, observable code and uphold high engineering standards across the team • Engage with internal stakeholders and occasionally enterprise customers to validate solutions and gather feedback • Participate in on-call rotations and maintain production reliability for your features • What You'll Work On • What You'll Work On • Infrastructure-as-Code for Observability • Make dashboards, alerts, and configuration deployable, version-controlled, and auditable • Support standard enterprise workflows: peer review, rollback, compliance, and GitOps-style delivery • Reduce adoption friction for organizations with mature DevOps practices • Integrations • Build data import and export pipelines connecting O11y to other event tracking and observability solutions • Connect O11y Alerts to issue trackers (Jira, Linear, PagerDuty, etc.) to close the loop on incident workflows • Design extensible integration patterns that support a growing ecosystem of enterprise tooling • 5+ years of professional software engineering experience shipping production-quality full-stack features • Proficiency across the stack—comfortable in TypeScript/React on the frontend and Go (or similar) on the backend • Experience building integrations, data pipelines, or APIs that connect systems at scale • Familiarity with Infrastructure-as-Code tooling (Terraform, Pulumi, etc.) or experience building IaC-compatible APIs • Understanding of enterprise software requirements: compliance, auditability, RBAC, and GitOps workflows • Strong communication skills—you can work across functions and are comfortable interacting with technical customers or solutions engineers • Experience with observability tools (Datadog, Grafana, OpenTelemetry, etc.) is a plus • Familiarity with LaunchDarkly's feature flagging or Observability product is a plus • Target pay ranges based on Geographic Zones* for Level 3: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $171,200 - $235,400** • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $154,100 - $211,860** • Zone 3: All other US locations - $145,500 - $200,090 ** • LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. • Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. • 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 outages • Delivering targeted experiences by easily personalizing features to customer cohorts • Maximizing the business impact of every feature through the ability to experiment and optimize • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability