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- Strong programming experience in Go or a comparable backend language such as Python, Rust, or C++. Our team is using Go

• Clear, thoughtful communication and a collaborative approach to working with technical and non-technical partners

• Experience with experimentation, A/B testing, analytics, data platforms, or similarly data-intensive products

• Experience designing and delivering customer-facing systems that are scalable, reliable, observable, and maintainable

• Experience working in a cloud environment and with infrastructure-as-code or equivalent deployment and operations tooling

• Experience with distributed systems, event-driven architectures, data pipelines, APIs, data modeling, or data-intensive services

• Experience diagnosing production issues and improving system reliability through metrics, logs, traces, alerting, and other observability practices

• Familiarity with analytical, operational, or warehouse data stores such as ClickHouse, Postgres, Snowflake, Redshift, BigQuery, Databricks, or equivalent technologies

• Fluency using AI tools in software engineering workflows, including the judgment to direct, evaluate, and validate AI-generated output

• 6+ years of professional software engineering experience, including significant experience building and operating backend services in production

• Ability to take an ambiguous problem from discovery and scoping through design, implementation, launch, and ongoing operation