Top Remote Senior Level DevOps Jobs in Salt Lake City, UT

As a Senior IT Systems Engineer at GFiber, you will be responsible for ensuring smooth operations and providing comprehensive support to the Operations team. Your role involves diagnosing and troubleshooting network issues, resolving complex hardware and software challenges, and collaborating with the operations team to implement IT solutions that enhance productivity.

As a Sr. Full-Stack Engineer, you will design and implement scalable online services and backend systems for a new Multiplayer Action RPG. Responsibilities include building game-supporting APIs, optimizing complex systems, and collaborating with the engineering team. Familiarity with frontend frameworks is required.

The Full Stack Engineer will develop an AI-powered agency management system, focusing on frontend and backend components, integrating AI models, ensuring system scalability and security, and collaborating with cross-functional teams.

The Senior Software Engineer will enhance and support the Customer's production platforms by developing software, ensuring security compliance, and managing infrastructure. Responsibilities include scheduled support for the platform, developing software solutions in Golang, managing infrastructure definitions in YAML, and optimizing performance over Kubernetes.

As a Technical Leader and Principal Software Engineer, you will collaborate with various teams to develop software solutions, ensure adherence to technical architecture, maintain documentation, debug complex issues, and enforce coding standards. You'll lead development activities and facilitate communication across teams to meet performance targets.

The Senior Full Stack Developer will design and develop frontend and backend components of web applications using React, TypeScript, and .NET Core C#. Responsibilities include enhancing existing solutions, collaborating with team members, writing maintainable code, and maintaining CI/CD pipelines.

Manage AWS Cloud infrastructure for Data Science and Machine Learning environments. Resolve user problems, automate tasks, and improve overall operational costs and user experience.