Treehouse
Fullstack Engineer
Treehouse, Oakland, California, United States, 94616
LaunchDarkly is looking for a Fullstack Engineer with a passion for data analytics to join our team. We're looking for people who want to build products that make data-driven decisions intuitive and accessible for our 1000s of customers across a wide swath of industries.The core technologies we use daily include Golang, Typescript, MongoDB, ElasticSearch, Redis, and CockroachDB. As part of our you-build-it-you-run-it culture, all developers may be responsible for supporting applications in production, including on-call. Off-hours on-call is optional and compensated in addition.Responsibilities
Build and expand our data analysis products and APIs, written in Go, for our Measurement product lineCollaborate with engineers and designers to deliver user-facing featuresCollaborate with our data pipeline team to ensure data analysis accuracy and qualityMonitor and improve server-side performanceWrite unit, integration, and load tests as necessaryActively participate in code reviewsWrite and review technical proposalsImprove engineering standards, tooling, and processesQualifications
Strong desire to build customer-facing data analytics products and APIsExperienced with server-side web development (e.g. in Java / Scala, Ruby, Python, Golang, Node.js) and building RESTful APIsFamiliarity with computer science fundamentals such as data structures, distributed systems, concurrency, and threadingYou have an appetite for learning and teachingYou write code that can be easily understood by others, with an eye towards maintainabilityYou hold yourself and others to a high bar when working with production systemsYou value high code quality, automated testing, and other engineering best practicesTarget pay range for a Level P4 in San Francisco/Bay Area: $173,000 - $204,000About 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 Measurement product lineCollaborate with engineers and designers to deliver user-facing featuresCollaborate with our data pipeline team to ensure data analysis accuracy and qualityMonitor and improve server-side performanceWrite unit, integration, and load tests as necessaryActively participate in code reviewsWrite and review technical proposalsImprove engineering standards, tooling, and processesQualifications
Strong desire to build customer-facing data analytics products and APIsExperienced with server-side web development (e.g. in Java / Scala, Ruby, Python, Golang, Node.js) and building RESTful APIsFamiliarity with computer science fundamentals such as data structures, distributed systems, concurrency, and threadingYou have an appetite for learning and teachingYou write code that can be easily understood by others, with an eye towards maintainabilityYou hold yourself and others to a high bar when working with production systemsYou value high code quality, automated testing, and other engineering best practicesTarget pay range for a Level P4 in San Francisco/Bay Area: $173,000 - $204,000About 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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