Backend Engineer jobs in Washington
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SENIOR BACKEND ENGINEER - ROBOTO AI
BS/MS/PhD in Computer Science or equivalent experience. At least 5 years of full-time experience, ideally ex-growth startup. Experience building and operating large-scale web services. Experience managing large SQL / NoSQL databas...
| Company | A Portfolio Company Of The Ai2 Incubator |
|---|---|
| Address | Seattle, WA |
| Category | Information Technology |
| Job type | Full-Time |
| Date Posted | 2 days ago See detail |
Senior Backend Engineer - Roboto AI
A Portfolio Company Of The Ai2 Incubator
Seattle, WA
BS/MS/PhD in Computer Science or equivalent experience. At least 5 years of full-time experience, ideally ex-growth startup. Experience building and operating large-scale web services. Experience managing large SQL / NoSQL databas...
2 days ago seen See more...
- View all - jobs in Seattle, WA
Backend Engineer
Epic Games
Bellevue, WA
$145K - $183K a year
At Epic, engineers are empowered to get things done by assessing challenges, crafting solutions, and implementing them by writing distributed systems, primarily using Java, to handle large-scale challenges. Work with public cloud...
2 months ago seen See more...
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Senior Software Engineer, Backend
Duolingo
Seattle, WA
$148,800 - $274,600 a year
Collaborate on software projects with product design and backend aspects. Develop, release, and maintain backend services and/or infrastructure. Lead individual project priorities, milestones, and ensure we're always shipping. A B...
2 months ago seen See more...
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Software Engineer, BackEnd (Agreement Orchestration Platform)
Docusign
Seattle, WA
$123,700 - $174,700 a year
Think about how to solve problems in scale and build fault tolerant systems Develop high-quality, ship-ready code that is covered by a full test suite Design and develop a web-scale service that follows microservices principles an...
2 months ago seen See more...
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Senior Software Engineer - Backend
Databricks
Bellevue, WA
$157,700 - $213,800 a year
Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way. Develop reliable, scalable services and client libraries that work w...
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