Senior Backend Engineer, Data Platform

5+ Years of backend software engineering experience

Minimum of 1 year experience building product focused Data Pipelines or Data Warehouse

Demonstrable experience with data pipelines, including some of Kinesis, Airflow, Spark, Lambda, Flink and Athena.

Experience with event or analytical data sets in databases including some of Clickhouse, Postgres, ElasticSearch, Timestream and Snowflake.

Familiarity with computer science fundamentals such as data structures, distributed systems, concurrency, and threading

You value high code quality, automated testing, and other engineering best practices

Software powers the world, and LaunchDarkly empowers all teams to deliver and control the best software. As a Data Platform Engineer, you will help us build batch and stream processing pipelines that process trillions of events per day and deliver data to optimized derived tables that power all major internal and external products built on event data.

Our platform serves over twenty trillion feature flags daily.

To accommodate the large scale of our systems, we use state-of-the-art pipeline technologies in the AWS ecosystem, including Kinesis, Airflow, Spark, Lambda, Flink and Athena.

We store data in databases including Clickhouse, Postgres, ElasticSearch, Timestream and Snowflake.

As part of our you-build-it-you-run-it culture, all engineers support the pipelines in production, including in an on-call rotation.

Build and expand our data pipelines and data products supporting Experimentation, Release observability, Metrics, Product Analytics and Flag Insights product lines, as well as internal Business Intelligence.

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