Senior Backend Engineer (Experimentation)

• LaunchDarkly is seeking a Senior Backend Engineer to join our Experimentation team
• 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
• 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
• 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
• 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
• You will work closely with product managers, designers, data scientists, and engineers across LaunchDarkly to solve complex, data-intensive problems with meaningful customer impact
• 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

Benefits

• Full Vision
• Full Dental
• Full Medical
• Flexible Schedule
• Healthy Lunches & Snacks
• Conference & Meetup Access
• Education Stipend
• Personalized Work Station
• Close to Public Transportation
• Bike Parking
• Team Activities
• Unlimited paid time off policy
• Work from home opportunities
• Health insurance

• Experience working in a cloud environment and with infrastructure-as-code or equivalent deployment and operations tooling
• Fluency using AI tools in software engineering workflows, including the judgment to direct, evaluate, and validate AI-generated output
• Familiarity with analytical, operational, or warehouse data stores such as ClickHouse, Postgres, Snowflake, Redshift, BigQuery, Databricks, or equivalent technologies
• Ability to take an ambiguous problem from discovery and scoping through design, implementation, launch, and ongoing operation
• Clear, thoughtful communication and a collaborative approach to working with technical and non-technical partners
• 6+ years of professional software engineering experience, including significant experience building and operating backend services in production
• Strong programming experience in Go or a comparable backend language such as Python, Rust, or C++. Our team is using Go
• Experience with experimentation, A/B testing, analytics, data platforms, or similarly data-intensive products
• Experience with distributed systems, event-driven architectures, data pipelines, APIs, data modeling, or data-intensive services
• Experience designing and delivering customer-facing systems that are scalable, reliable, observable, and maintainable
• Experience diagnosing production issues and improving system reliability through metrics, logs, traces, alerting, and other observability practices