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., We invite applicants to share their demographic background. Please note this optional survey is different from the EEO questions further in the application – we encourage you to answer both, as one is required for government reporting, and the other includes additional questions to further identify areas of improvement in our goal to become a more diverse and inclusive organization. Your responses will not be associated with your specific application and will not in any way be used in the hiring decision. How would you describe your gender identity? (mark all that apply) Select… How would you describe your racial/ethnic background? (mark all that apply) Select… How would you describe your sexual orientation? (mark all that apply) Select… Do you identify as transgender? Select… Do you have a disability or chronic condition (physical, visual, auditory, cognitive, mental, emotional, or other) that substantially limits one or more of your major life activities, including mobility, communication (seeing, hearing, speaking), and learning? Select… Are you a veteran or active member of the United States Armed Forces? Select…

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• 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.

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.

*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary., School Select… Degree Select… Discipline Select… Start date month Select… Start date year End date month Select… End date year

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 hr@launchdarkly.com.