Senior Backend Engineer, Experimentation

About this role

<h4><strong>About the Job:</strong></h4> <p data-renderer-start-pos="4514" data-local-id="9f8c574861e0">LaunchDarkly is seeking a Senior Backend Engineer to join our Experimentation team.</p> <p data-renderer-start-pos="4599" data-local-id="2dc3ef27e5ec">The Experimentation team is building one of the company’s most strategic product areas: a platform that helps leading engineering organizations move beyond intuition and make product decisions with real statistical confidence.</p> <p data-renderer-start-pos="4827" data-local-id="3197b7f77314">Sitting at the intersection of large-scale systems, data science, and user experience, the team is creating a best-in-class experimentation product that lets customers set up, manage, and analyze experiments with ease while still earning the trust of even the most rigorous data teams.</p> <p data-renderer-start-pos="5114" data-local-id="64b1a1bf87b4">From warehouse-native analysis to experimentation workflows built on top of LaunchDarkly’s massive feature management scale, this team is tackling ambitious technical problems with visible customer impact and a clear opportunity to define the future of modern software experimentation.</p> <p data-renderer-start-pos="5401" data-local-id="b785e3aad567">As a Senior Backend Engineer, you will design and operate the services that power this product, contribute to technical direction, and help deliver new functionality to customers.</p> <p data-renderer-start-pos="5582" data-local-id="4b885099e893">You will work closely with product managers, designers, data scientists, and engineers across LaunchDarkly to solve complex, data-intensive problems with meaningful customer impact.</p> <h4>Responsibilities:</h4> <ul> <li>Design, build, and operate scalable backend services and APIs that power LaunchDarkly’s Experimentation product.</li> <li>Own backend components across their lifecycle, including technical discovery, design, implementation, testing, deployment, monitoring, incident response, and continuous improvement.</li> <li>Build and evolve systems supporting experiment setup, event data ingestion, metric computation, results processing, and results presentation.</li> <li>Contribute to architectural decisions and technical proposals, making thoughtful trade-offs around scalability, reliability, performance, cost, and maintainability.</li> <li>Partner with product managers, designers, data scientists, and adjacent engineering teams to translate customer needs and product goals into reliable technical solutions.</li> <li>Collaborate with Data Platform, Warehouse Integrations, SDK, and other teams on shared data flows, services, and cross-team dependencies.</li> <li>Investigate complex production issues, identify root causes, and implement durable fixes.</li> <li>Improve observability, testing, deployment safety, operational processes, and the reliability of the systems you build.</li> <li>Participate in the team’s on-call rotation and take ownership of production systems in a you-build-it-you-run-it culture.</li> <li>Support teammates through thoughtful code reviews, design reviews, knowledge sharing, and informal mentorship.</li> </ul> <h4>Qualifications:</h4> <ul> <li style="line-height: 1.5;">6+ years of professional software engineering experience, including significant experience building and operating backend services in production.</li> <li style="line-height: 1.5;">Fluency using AI tools in software engineering workflows, including the judgment to direct, evaluate, and validate AI-generated output.</li> <li style="line-height: 1.5;" data-renderer-start-pos="7475" data-local-id="f51347f276fc">Experience designing and delivering customer-facing systems that are scalable, reliable, observable, and maintainable.</li> <li style="line-height: 1.5;" data-renderer-start-pos="7597" data-local-id="44a8bf08588e">Strong programming experience in Go or a comparable backend language such as Python, Rust, or C++. Our team is using Go.</li> <li style="line-height: 1.5;" data-renderer-start-pos="7721" data-local-id="15e15a445699">Experience with distributed systems, event-driven architectures, data pipelines, APIs, data modeling, or data-intensive services.</li> <li style="line-height: 1.5;" data-renderer-start-pos="7854" data-local-id="b20e97175d73">Familiarity with analytical, operational, or warehouse data stores such as ClickHouse, Postgres, Snowflake, Redshift, BigQuery, Databricks, or equivalent technologies.</li> <li style="line-height: 1.5;" data-renderer-start-pos="8025" data-local-id="c08c43a71edd">Experience diagnosing production issues and improving system reliability through metrics, logs, traces, alerting, and other observability practices.</li> <li style="line-height: 1.5;" data-renderer-start-pos="8177" data-local-id="3203399ebdac">Experience working in a cloud environment and with infrastructure-as-code or equivalent deployment and operations tooling.</li> <li style="line-height: 1.5;" data-renderer-start-pos="8303" data-local-id="b83ea50767d2">Ability to take an ambiguous problem from discovery and scoping through design, implementation, launch, and ongoing operation.</li> <li style="line-height: 1.5;" data-renderer-start-pos="8433" data-local-id="06ae5767ad0c">Clear, thoughtful communication and a collaborative approach to working with technical and non-technical partners.</li> <li style="line-height: 1.5;" data-renderer-start-pos="8433" data-local-id="06ae5767ad0c">Experience with experimentation, A/B testing, analytics, data platforms, or similarly data-intensive products.</li> </ul> <div> <p class="p1"><strong>Pay:</strong></p> <p class="p1"><em>Target pay ranges based on Geographic Zones* for Level 4:</em></p> <ul class="ul1"> <li class="li1">Zone 1: <em>San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle</em> - $191,800 - $263,670**</li> <li class="li1">Zone 2:<em> Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - </em>$172,600 - $237,270**</li