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Top Hybrid C# Jobs in Seattle, WA

11 Days Ago
Kirkland, WA, USA
Hybrid
300,000 Employees
300,000 Employees
Consumer Web • eCommerce • Information Technology • Retail • Software • Analytics • App development
The Sr Manager, Software Engineering will lead a team of Software Engineers leveraging microservices architecture and cloud computing capabilities to build leading edge solutions for a Fortune 40 company. Responsibilities include guiding the team in design, development, configuration, testing, and continuous improvements, overseeing software solutions implementation and maintenance, providing insights for the roadmap, clearing obstacles, and empowering the team to solve technical and business problems.
Top Benefits:
401-K
401-K Matching
Commuter Benefits
+32 More
3 Days Ago
2 Locations
Hybrid
67 Employees
141K-212K Annually
Senior level
67 Employees
141K-212K Annually
Senior level
Cloud • Software
As a Senior Full Stack Engineer at Kubecost, you will lead the delivery of enterprise-level software, owning features from concept to production while collaborating with cross-functional teams. Responsibilities include building REST APIs, managing Kubernetes environments, and ensuring high-quality user experiences in an agile environment.
8 Days Ago
Bellevue, WA, USA
Hybrid
28 Employees
180K-240K Annually
Senior level
28 Employees
180K-240K Annually
Senior level
Security • Cybersecurity
As a Principal Backend Software Engineer at Oleria, you'll architect scalable backend systems, work with massive datasets, and develop innovative solutions in a collaborative and autonomous environment. You'll leverage cloud technologies and AI to enhance identity access management for enterprise applications, significantly impacting data security.
Top Benefits:
401-K
Company Equity
Company Outings
+23 More

Featured Jobs

13 Days Ago
Bellevue, WA, USA
Hybrid
92 Employees
160K-210K Annually
Mid level
92 Employees
160K-210K Annually
Mid level
Artificial Intelligence • Marketing Tech
As a Senior Software Engineer specializing in MLOps, you will design and develop critical projects on the ML Ops platform, helping data scientists advance deep learning models for advertising campaigns. You'll lead technical efforts and mentor junior engineers while implementing industry and proprietary systems.
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