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Top Hybrid Scala Jobs in Seattle, WA

5+ Job Results
2 Hours Ago
Seattle, WA, USA
Hybrid
4,500 Employees
Senior level
4,500 Employees
Senior level
Fintech • Mobile • Software • Financial Services
In this role, you will lead the development lifecycle of our Money product's architectural transformation, enhance banking core services, and drive data management improvements. You'll collaborate with stakeholders to deliver functionality, maintain coding standards, and contribute significantly to our codebase while ensuring high-quality results and compliance with policies.
Top Benefits:
401-K
Child Care Benefits
Commuter Benefits
+45 More
15 Hours Ago
Bothell, WA, USA
Hybrid
121,990 Employees
106K-196K Annually
Senior level
121,990 Employees
106K-196K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Platform Software Development Lead will guide a team in creating and managing advanced engineering products for analytics, machine learning, and data management. Responsibilities include leading development processes, collaborating with stakeholders, improving microservices, and mentoring the team on various technologies within the cloud ecosystem.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+48 More
9 Days Ago
Seattle, WA, USA
Hybrid
200,000 Employees
184K-271K Annually
Senior level
200,000 Employees
184K-271K Annually
Senior level
AdTech • Digital Media • News + Entertainment
The Sr Manager of Software Engineering will lead the Platform team managing Service Reliability Activities. Responsibilities include driving the technical vision, leading architectural discussions, collaborating across teams, and participating in Agile practices to enhance the platform's operations and scalability.
Top Benefits:
401-K
401-K Matching
Child Care Benefits
+16 More
8 Hours Ago
Bellevue, WA, USA
Hybrid
92 Employees
160K-210K Annually
Senior level
92 Employees
160K-210K Annually
Senior level
Artificial Intelligence • Marketing Tech
Build performant, reliable and scalable systems to help our Data Science and other parts of our organization succeed.
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