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Top Ruby Jobs in Reno, NV

315+ Job Results
22 Days Ago
USA
Remote
230 Employees
190K-260K Annually
Senior level
230 Employees
190K-260K Annually
Senior level
Information Technology • Other • Security • Social Impact • Software • Cybersecurity • Data Privacy
As a Senior Software Engineer in Infrastructure at Persona, you will be responsible for building and managing scalable and resilient infrastructure systems. You will collaborate with product teams to deliver features rapidly, implement best engineering practices, and shape system design and methodologies.
Top Benefits:
401-K
Adoption Assistance
Commuter Benefits
+52 More
23 Days Ago
USA
Remote
7,630 Employees
Senior level
7,630 Employees
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
As a Solutions Architect, you'll deploy cloud products for clients, guide them in application development on Snowflake, and collaborate with various teams to improve products and services. You will be hands-on in addressing technical challenges while ensuring knowledge transfer to customers.
Top Benefits:
401-K
Adoption Assistance
Child Care Benefits
+53 More
23 Days Ago
United States of America
85,636 Employees
165K-248K Annually
Mid level
85,636 Employees
165K-248K Annually
Mid level
Aerospace • Logistics • Security • Software • Cybersecurity
As a Staff Software Engineer, you'll work on software systems for mission-critical projects using C/C++ or Python. You'll be involved in the entire software development lifecycle, developing software requirements, conducting reviews, executing unit tests, and collaborating with integrated product teams. Emphasis on innovation, teamwork, and Agile practices is crucial.
24 Days Ago
USA
Remote
889 Employees
166K-250K Annually
Mid level
889 Employees
166K-250K Annually
Mid level
Cloud • Legal Tech • Software
The Staff Software Developer will work within the AI Product Engineering team to build and support AI-driven products, focusing on performance, reliability, and user experience. Responsibilities include technical ownership of AI portfolio, collaborating with developers, writing well-tested code, and mentoring peers.
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