Senior Backend Engineer, Data Platform

Software powers the world, and LaunchDarkly empowers teams to deliver and control it safely. As a Senior Backend Engineer on the Data Platform team, you will help build and operate the distributed data infrastructure that moves, stores, and serves large volumes of product data across LaunchDarkly.

Our systems support customer-facing product capabilities across Experimentation, Metrics, Release Guardian, Observability, AgentControl, and other areas that depend on reliable data. You will work on streaming and batch processing systems, analytical data stores, warehouse export infrastructure, and the operational foundations needed to keep these systems reliable at scale.

To support this work, we use technologies such as Kinesis, Airflow, Spark, Lambda, Flink, Athena, ClickHouse, Postgres, Elasticsearch, Glue/Iceberg/S3, Terraform, and Datadog. Exact tool match is less important than strong backend engineering experience, distributed systems judgment, and a track record of owning production systems. As part of our you-build-it-you-run-it culture, engineers support the systems they build in production, including through an on-call rotation.

• 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.

• 6+ years of professional backend software engineering experience, including significant experience with infrastructure, data platform, distributed systems, or data-intensive production systems.

• 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.

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:

• Improving the velocity and stability of software releases, without the fear of end customer outages
• Delivering targeted experiences by easily personalizing features to customer cohorts
• Maximizing the business impact of every feature through the ability to experiment and optimize
• Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
• Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability

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 [email protected]. 

Do you need a disability accommodation?

Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. 

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