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Github Copilot Jobs in Utah (NOW HIRING)

Leverage AI coding assistants (Claude, GitHub Copilot, or similar) to accelerate development, refactoring, and code review processes * Collaborate in Agile teams to refine requirements, estimate ...

... Code, GitHub Copilot, or similar. • Promote AI-driven automation such as test generation, code refactoring, dependency analysis, and large-scale codebase exploration. • Contribute to ...

... GitHub Copilot, Gemini, or similar technologies. Preferred Qualifications • Experience building accessible mobile applications and implementing Android accessibility features. • Experience ...

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Github Copilot information

See Utah salary details

$29.6K

$74.4K

$114.7K

How much do github copilot jobs pay per year?

As of Jul 26, 2026, the average yearly pay for github copilot in Utah is $74,423.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $92,900.00 per year, depending on experience, location, and employer.

What is the difference between Github Copilot vs Software Developer?

FeatureGithub CopilotSoftware Developer
Primary RoleAI-powered code completion toolDesigning, coding, testing software applications
Required SkillsProficiency in programming, understanding of AI toolsProgramming languages, problem-solving, software design
Work EnvironmentIntegrated into IDEs, used alongside developersOffice or remote, collaborative or solo coding
CertificationsNone required, but familiarity with coding standards helpsComputer Science degree or coding certifications often preferred

Github Copilot is an AI tool that assists developers by suggesting code snippets, while a Software Developer actively writes, tests, and maintains software applications. Copilot enhances productivity but does not replace the core responsibilities of a developer. Both roles often work together in the software development process.

What are popular job titles related to Github Copilot jobs in Utah? For Github Copilot jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Github Copilot jobs? Cities in Utah with the most Github Copilot job openings:

Software Engineer - AI

Lightspeed DMS

South Jordan, UT

Other

Posted 11 days ago


Job description

We are an innovative and collaborative team looking to be at the forefront of AI-powered software development. We're seeking Software Engineers - AI who are passionate about leveraging artificial intelligence to accelerate development, enhance code quality, and solve complex technical challenges. This role requires professionals who embrace AI-assisted coding workflows, prompt engineering, and modern development practices while maintaining excellence in traditional software engineering fundamentals. Ideal candidates thrive in fast-paced environments and are excited about the intersection of AI and software development.

What you'll do:
  • Leverage AI coding assistants (Claude, GitHub Copilot, or similar) to accelerate development, refactoring, and code review processes
  • Collaborate in Agile teams to refine requirements, estimate tasks, and contribute to sprint activities with AI-enhanced productivity
  • Design and implement software solutions using object-oriented principles, ensuring reusability, scalability, and maintainability
  • Develop clean, efficient, well-documented code with AI assistance while maintaining high standards of code ownership and understanding
  • Utilize AI tools for automated testing, test case generation, and maintaining comprehensive unit test coverage
  • Participate in AI-assisted code reviews, focusing on architecture decisions, logic validation, and security considerations
  • Work closely with business, product management, QA, and hosting teams to facilitate smooth rollouts across AWS environments (development, staging, production)
  • Manage and optimize CI/CD pipelines with AI-enhanced automation for build, test, and deployment processes
  • Apply prompt engineering techniques to maximize effectiveness of AI coding tools for your specific development tasks
  • Use team tools including Jira, GitLab, SwaggerHub, Bruno, and AI platforms for project tracking, version control, API documentation, and testing
  • Maintain comprehensive documentation in Confluence, leveraging AI to keep resources current and accessible
  • Contribute to team knowledge sharing on AI tool best practices, effective prompts, and AI-assisted development workflows
What you should have:

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related field with 3-5 years of development experience, including 1+ years of agentic AI development experience; or equivalent experience in lieu of a degree
  • Proficiency in Python and Java (3-5 years each), with hands-on experience in AWS cloud environments
  • Demonstrated experience using agentic coding tools (Claude Code, GitHub Copilot, Cursor, or similar), including the ability to critically evaluate, validate, and debug AI-generated code
  • Strong computer science fundamentals, including data structures, algorithms, object-oriented design, and software architecture principles
  • Proven experience with Agile and Scrum methodologies in fast-paced development environments
  • Experience developing and integrating RESTful APIs with proficiency in SQL and relational databases
  • Understanding of distributed systems and microservices architecture
  • Working knowledge of Linux/Unix operating systems and command-line tools
  • Strong communication and collaboration skills, with a growth mindset and ability to prioritize effectively in a fast-paced environment

Preferred Qualifications:

  • Experience with prompt engineering and optimizing AI tool outputs for software development tasks
  • Familiarity with test-driven development (TDD) and achieving high code coverage standards, including AI-generated test cases
  • Knowledge of AI model capabilities, limitations, and best practices for AI-assisted development
  • Experience integrating front-end and back-end systems with modern architectural patterns
  • Proficiency with modern databases (PostgreSQL preferred) and microservices architecture
  • Knowledge of containerization and orchestration technologies (Docker, Kubernetes)
  • Experience with infrastructure as code (Terraform) and DevOps practices
  • Understanding of code quality tools, static analysis, and automated security scanning
  • Contributions to open-source projects or technical blog posts demonstrating AI-assisted development expertise