Backend Engineer, Metrics
About The Position
About the Job: In the software world today, teams ship software faster than ever, but the hard part is doing it without breaking things. New features, new services, new dependencies all adds risk. LaunchDarkly gives engineers a way to move quickly while keeping control. You can roll changes out incrementally, spot problems early, and learn what actually makes the product better. AI is starting to amplify that need. Models behave differently in production than they do in a notebook, and teams need a safe way to test ideas, gather real signals, and pull back if something goes sideways. The same tools that help teams ship traditional features end up being just as useful for AI-driven ones. As a P2 on Metrics, you’re building the part of the platform that turns raw events into meaningful LD units that can be turned into measurements. Your work will support safer releases, clearer experimentation, and faster learning across both traditional software and emerging AI workloads. This is a chance to grow as an engineer while contributing to infrastructure that modern teams depend on every day.
Requirements
- Experience with at least one server-side programming language and interest in working with Go.
- Ability to build and maintain basic RESTful APIs using existing patterns.
- Understanding of core computer science concepts such as data structures, concurrency, and distributed systems basics.
- Familiarity with databases or event stores like Postgres, ClickHouse, ElasticSearch, Snowflake, or similar.
- Exposure to data or event-processing tools such as Kinesis, Airflow, Spark, Lambda, Flink, or equivalents.
- Basic experience with infrastructure-as-code tools like Terraform, or willingness to learn.
- Familiarity with observability tools like Datadog.
- Able to read dashboards and debug with guidance.
- Willing to commute to Oakland twice a week
Nice To Haves
- Exposure to CI systems such as CircleCI or Spinnaker.
- Early familiarity with experimentation frameworks or statistical ideas.
Responsibilities
- Build and maintain backend features within the Metrics services, following established patterns and designs.
- Help develop internal APIs that connect customer events to experimentation and release-safety workflows, with guidance from senior engineers.
- Work with data pipeline teams to understand how events flow through ingestion, storage, and querying, and make targeted contributions where needed.
- Assist in integrating event-driven capabilities into areas like AI Configs, Observability, and Experimentation.
- Support service reliability work by adding tests, improving logs, tuning alerts, and helping investigate issues during development.
- Participate in code reviews, design discussions, and planning sessions, asking clear questions and contributing thoughtfully.
- Learn the operational side of running distributed systems, including debugging, monitoring, and safe rollout practices.
Benefits
- Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
251-500 employees
