Backend Engineer, Metrics

About the Job :

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 play a crucial role in designing and scaling the services that power these capabilities. You’ll work on systems that process high volumes of events and enable internal teams and customers to tie those events to meaningful product decisions. Our work underpins features like AI Configs, Observability, and Product Analytics. This role requires strong engineering judgment, a focus on reliability, and close collaboration with other teams. If you're excited about turning raw signals into actionable insights that 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 operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.

About LaunchDarkly :

Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.

The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by :

At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com .

Learn more about the interview process & what it’s like to work with LaunchDarkly's Product Delivery team !

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