Senior Backend Engineer, Experimentation

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Senior Backend Engineer, Experimentation in USA

LaunchDarkly
Full time
Email

USA
08/22/2026
Report

Remote

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.

Salary: $163k - $264k/yr

LaunchDarkly

LaunchDarkly is the runtime control layer for the AI era. For over a decade we have helped engineering teams control what ships in production, starting with feature management and evolving into the infrastructure that governs how software and AI agents behave after deploy. With CodeControl and Ag...

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