LaunchDarkly
Overview
The Metrics Team at LaunchDarkly builds the systems that connect customer event data to core product experiences like Experimentation and Release Guardian. We’re looking for an experienced backend engineer to design and scale the services that power these capabilities. You’ll work on systems that process high volumes of events and enable internal teams and customers to derive meaningful product decisions. This role underpins features like AI Configs, Observability, and Product Analytics. A strong emphasis on engineering judgment, reliability, and collaboration with other teams is essential. If you’re excited about turning raw signals into actionable insights to help teams ship software more safely, quickly, and reliably, we want to work with you. Responsibilities
Design, build, and maintain backend services that power Experimentation and Release Guardian at scale Evaluate and shape new product features from a technical perspective, identifying opportunities, tradeoffs, and implementation paths Develop internal APIs that connect customer events to experimentation and release safety workflows Collaborate with data pipeline teams to ensure accurate, reliable event processing and delivery Partner with product and engineering teams to integrate event-driven features into products like AI Configs, Observability, and Product Analytics Improve service reliability through observability, alerting, and operational tooling Actively participate in code reviews, spec discussions, and architecture design Qualifications
Extensive experience with server-side programming (preferably Golang) Strong proficiency in building and maintaining RESTful APIs Solid understanding of core CS concepts: data structures, distributed systems, concurrency, and threading Familiarity with event ingestion and querying across technologies like ClickHouse, Postgres, ElasticSearch, Timestream, Snowflake, or Glue/Iceberg/S3 Experience working with stream and batch processing tools such as Kinesis, Airflow, Spark, Lambda, Flink, or Athena (or equivalents) Hands-on experience with infrastructure-as-code tools like Terraform (or equivalent) Proficiency with observability tools such as Datadog (or equivalent) Nice to have: Experience with CI/CD tooling like Spinnaker or CircleCI (or equivalents) Familiarity with A/B testing frameworks, experimentation platforms, or statistical methods for measuring feature performance Pay
Target pay ranges based on Geographic Zones for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle — $187,000 - $257,000 Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago — $168,000 - $231,000 Zone 3: All other US locations — $158,000 - $218,000 LaunchDarkly states the pay range for open roles to align with candidate needs. Exact compensation may vary based on skills, experience, and location. Within the United States, geographic pay zones are defined by counties surrounding major metropolitan areas. RSUs, health, vision, dental insurance, and mental health benefits are included in addition to salary. About LaunchDarkly
LaunchDarkly helps developers ship features faster while protecting them with a safety valve to rewind if needed. The platform supports targeted experiences, experimentation, and safe progressive delivery to ensure consistent experiences across devices and platforms. We aim to improve engineering cadence and stability while enabling teams to ship software with confidence. We are an equal opportunity employer and value diversity. We do not discriminate on race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. For more information, contact People Ops at hr@launchdarkly.com.
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The Metrics Team at LaunchDarkly builds the systems that connect customer event data to core product experiences like Experimentation and Release Guardian. We’re looking for an experienced backend engineer to design and scale the services that power these capabilities. You’ll work on systems that process high volumes of events and enable internal teams and customers to derive meaningful product decisions. This role underpins features like AI Configs, Observability, and Product Analytics. A strong emphasis on engineering judgment, reliability, and collaboration with other teams is essential. If you’re excited about turning raw signals into actionable insights to help teams ship software more safely, quickly, and reliably, we want to work with you. Responsibilities
Design, build, and maintain backend services that power Experimentation and Release Guardian at scale Evaluate and shape new product features from a technical perspective, identifying opportunities, tradeoffs, and implementation paths Develop internal APIs that connect customer events to experimentation and release safety workflows Collaborate with data pipeline teams to ensure accurate, reliable event processing and delivery Partner with product and engineering teams to integrate event-driven features into products like AI Configs, Observability, and Product Analytics Improve service reliability through observability, alerting, and operational tooling Actively participate in code reviews, spec discussions, and architecture design Qualifications
Extensive experience with server-side programming (preferably Golang) Strong proficiency in building and maintaining RESTful APIs Solid understanding of core CS concepts: data structures, distributed systems, concurrency, and threading Familiarity with event ingestion and querying across technologies like ClickHouse, Postgres, ElasticSearch, Timestream, Snowflake, or Glue/Iceberg/S3 Experience working with stream and batch processing tools such as Kinesis, Airflow, Spark, Lambda, Flink, or Athena (or equivalents) Hands-on experience with infrastructure-as-code tools like Terraform (or equivalent) Proficiency with observability tools such as Datadog (or equivalent) Nice to have: Experience with CI/CD tooling like Spinnaker or CircleCI (or equivalents) Familiarity with A/B testing frameworks, experimentation platforms, or statistical methods for measuring feature performance Pay
Target pay ranges based on Geographic Zones for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle — $187,000 - $257,000 Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago — $168,000 - $231,000 Zone 3: All other US locations — $158,000 - $218,000 LaunchDarkly states the pay range for open roles to align with candidate needs. Exact compensation may vary based on skills, experience, and location. Within the United States, geographic pay zones are defined by counties surrounding major metropolitan areas. RSUs, health, vision, dental insurance, and mental health benefits are included in addition to salary. About LaunchDarkly
LaunchDarkly helps developers ship features faster while protecting them with a safety valve to rewind if needed. The platform supports targeted experiences, experimentation, and safe progressive delivery to ensure consistent experiences across devices and platforms. We aim to improve engineering cadence and stability while enabling teams to ship software with confidence. We are an equal opportunity employer and value diversity. We do not discriminate on race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. For more information, contact People Ops at hr@launchdarkly.com.
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