Senior Backend Engineer, Experimentation Platform

LaunchDarkly; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

LaunchDarkly is seeking a Senior Backend Engineer for the Experimentation team to design and operate scalable services powering feature experimentation at scale. You will collaborate with product managers, data scientists, and engineers to deliver data-intensive solutions that improve decision-making for engineering teams.

This role emphasizes reliability, observability, and on-call ownership in a fast-paced, impact-driven environment.

Responsibilities

• Design, build, and operate scalable backend services and APIs that power LaunchDarkly’s Experimentation product.
• Own backend components across their lifecycle, including technical discovery, design, implementation, testing, deployment, monitoring, incident response, and continuous improvement.
• Build and evolve systems supporting experiment setup, event data ingestion, metric computation, results processing, and results presentation.
• Contribute to architectural decisions and technical proposals, making thoughtful trade-offs around scalability, reliability, performance, cost, and maintainability.
• Partner with product managers, designers, data scientists, and adjacent engineering teams to translate customer needs and product goals into reliable technical solutions.
• Collaborate with Data Platform, Warehouse Integrations, SDK, and other teams on shared data flows, services, and cross-team dependencies.
• Investigate complex production issues, identify root causes, and implement durable fixes.
• Improve observability, testing, deployment safety, operational processes, and the reliability of the systems you build.
• Participate in the team’s on-call rotation and take ownership of production systems in a you-build-it-you-run-it culture.
• Support teammates through thoughtful code reviews, design reviews, knowledge sharing, and informal mentorship.

Job description

LaunchDarkly is seeking a Senior Backend Engineer for the Experimentation team to design and operate scalable services powering feature experimentation at scale. You will collaborate with product managers, data scientists, and engineers to deliver data-intensive solutions that improve decision-making for engineering teams.

This role emphasizes reliability, observability, and on-call ownership in a fast-paced, impact-driven environment.