Treehouse
Backend Engineer
Treehouse, Oakland, California, United States, 94616
We are looking for an exceptional Backend Engineer to make a profound impact on how data products will be integrated into companies' software in the future. We are integrating data into everything LaunchDarkly offers on top of our unrivaled feature management platform.The primary technologies we use daily include Golang, Scala, and CRDB. If working as a part of such a poly-functional team to bring to change how companies make decisions with data is appealing to you, then come join the Decision Science team at LaunchDarkly.Responsibilities
Build and expand our data analysis products and APIs, written in Go, for our Decision Science products.Collaborate with frontend engineers to deliver user-facing features.Monitor and improve server-side performance.Write unit, integration, and load tests as necessary.Actively participate in code reviews.Write and review technical proposals.Improve engineering standards, tooling, and processes.Qualifications
Experience with server-side web development (e.g. in Java / Scala, Ruby, Python, Golang, Node.js).Experience building RESTful APIs.Familiarity with computer science fundamentals such as data structures, distributed systems, concurrency, and threading.A commitment to working in a communicative and collaborative environment.You write code that can be easily understood by others, with an eye towards maintainability.You hold yourself and others to a high bar when working with production systems.You value high code quality, automated testing, and other engineering best practices.Target pay range for a Level P4 in San Francisco/Bay Area: $173,000 - $204,000.About LaunchDarkly
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.
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Build and expand our data analysis products and APIs, written in Go, for our Decision Science products.Collaborate with frontend engineers to deliver user-facing features.Monitor and improve server-side performance.Write unit, integration, and load tests as necessary.Actively participate in code reviews.Write and review technical proposals.Improve engineering standards, tooling, and processes.Qualifications
Experience with server-side web development (e.g. in Java / Scala, Ruby, Python, Golang, Node.js).Experience building RESTful APIs.Familiarity with computer science fundamentals such as data structures, distributed systems, concurrency, and threading.A commitment to working in a communicative and collaborative environment.You write code that can be easily understood by others, with an eye towards maintainability.You hold yourself and others to a high bar when working with production systems.You value high code quality, automated testing, and other engineering best practices.Target pay range for a Level P4 in San Francisco/Bay Area: $173,000 - $204,000.About LaunchDarkly
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.
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