Empowering all teams to deliver and control their software.
Senior Backend Engineer, Data Platform
Location
United States
Posted
6 days ago
Salary
$158K - $257K / year
Seniority
Senior
Job Description
Senior Backend Engineer, Data Platform
LaunchDarkly
• Design, build, and operate distributed, data-intensive backend systems that power Data Platform capabilities across Experimentation, Metrics, Release Guardian, Observability, Agent Control, and other product areas • Own and improve production data infrastructure, including streaming and batch pipelines, analytical data stores, warehouse export systems, observability, alerting, reliability, and performance • Debug and resolve complex production issues across data pipelines, databases, cloud infrastructure, and distributed systems, including participating in the team’s on-call rotation • Partner with product managers, frontend engineers, UX designers, and other product engineering teams to deliver reliable customer-facing data capabilities • Write and review technical proposals, contribute to architecture decisions, and help the team make thoughtful trade-offs around scalability, reliability, cost, and operability • Improve engineering standards, testing practices, deployment safety, observability, tooling, and operational processes for Data Platform systems • Write maintainable, well-tested code and actively participate in code reviews, design reviews, and production readiness discussions
Job Requirements
- 6+ years of professional backend software engineering experience
- Experience designing, building, operating, and debugging reliable production systems that move, store, process, or query large volumes of data
- Hands-on experience with data pipeline, streaming, orchestration, or batch-processing technologies such as Kinesis, Airflow, Spark, Lambda, Flink, Athena, Kafka, or equivalent systems
- Experience working with analytical, event, warehouse, or operational data stores such as ClickHouse, Postgres, Elasticsearch, Timestream, Glue/Iceberg/S3, Redshift, Databricks, or equivalent systems
- Strong programming experience in Go, Python, SQL, Scala, or similar backend languages
- Familiarity with distributed systems and backend engineering fundamentals such as concurrency, data modeling, failure handling, retries, idempotency, partitioning, backpressure, and high-throughput processing
- Experience with infrastructure-as-code tools such as Terraform or equivalent, and observability tools such as Datadog, New Relic, or equivalent
- A strong ownership mindset for production systems, including maintainability, testing, operational excellence, code quality, collaboration, and clear technical communication
Benefits
- Restricted Stock Units (RSUs)
- Health, vision, and dental insurance
- Mental health benefits
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