Senior Backend Engineer, Experimentation

Responsibilities

• Design, build, and operate scalable backend services and APIs for LaunchDarkly’s Experimentation product.
• Own backend components from discovery and design through implementation, testing, deployment, monitoring, incident response, and continuous improvement.
• Build systems for experiment setup, event data ingestion, metric computation, results processing, and results presentation.
• Contribute to architectural decisions and technical proposals covering scalability, reliability, performance, cost, and maintainability.
• Partner with product managers, designers, data scientists, and engineering teams to translate customer needs into reliable technical solutions.
• Collaborate with Data Platform, Warehouse Integrations, SDK, and other teams on shared data flows and services.
• Investigate production issues, identify root causes, and implement durable fixes.
• Improve observability, testing, deployment safety, operational processes, and system reliability.
• Participate in the on-call rotation and take ownership of production systems.
• Support teammates through code reviews, design reviews, knowledge sharing, and informal mentorship.

Requirements

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

Benefits

• Target base pay varies by U.S. geographic zone, with listed ranges from $163,000 to $263,670.
• Restricted Stock Units are included in addition to salary.
• Health, vision, dental insurance, and mental health benefits are provided.
• The role includes participation in an on-call rotation.