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Github Engineer Jobs in Utah (NOW HIRING)

Leverage AI coding assistants (Claude, GitHub Copilot, or similar) to accelerate development ... Apply prompt engineering techniques to maximize effectiveness of AI coding tools for your specific ...

Software Engineer

Provo, UT · On-site

$120 - $170/hr

Contribute to improving developer workflows with GitHub, CI/CD, and agile best practices. 4. Quality & Security Follow compliance and security standards (SOC 2, ISO 27001, GDPR, EU AI Act). Implement ...

Software Engineer

Salt Lake City, UT · On-site

$180 - $240/hr

Join our engineering teams that build massively scalable software and systems, architect low ... Orchestrate AI coding agents (e.g., Claude Code, GitHub Copilot, Devin, Gemini Code Assist) across ...

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

Contribute to CI/CD pipelines using GitHub and modern deployment practices * Support Infrastructure-as-Code initiatives using Terraform and platform automation tools * Improve engineering efficiency ...

Integration Engineer Location: Salt Lake City, UT Work Model: Onsite Employment Type: Contract-to ... Evaluate and leverage emerging technologies, including AI-assisted development tools, GitHub ...

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

Contribute to CI/CD pipelines using GitHub and modern deployment practices * Support Infrastructure-as-Code initiatives using Terraform and platform automation tools * Improve engineering efficiency ...

Senior/Staff Software Engineer

Salt Lake City, UT · Hybrid

$118K - $156K/yr

Senior/Staff Software Engineer Role Overview Title : Senior/Staff Software Engineer Hours ... CI/CD (GitHub Actions or similar), version control (GitHub), containerization (Docker) and ...

New

Senior/Staff Software Engineer

Salt Lake City, UT · On-site

$118K - $156K/yr

Senior/Staff Software Engineer Role Overview Title : Senior/Staff Software Engineer Hours ... CI/CD (GitHub Actions or similar), version control (GitHub), containerization (Docker) and ...

New

Application Security Engineer

Lindon, UT · On-site

$53 - $70.75/hr

Integrate and optimize AI-assisted application security tools (e.g., GitHub Advanced Security, Snyk, Wiz, or similar) within developer workflows to improve signal and remediation speed. * Help define ...

Senior/Staff Software Engineer

Salt Lake City, UT · Hybrid

$118K - $156K/yr

Senior/Staff Software Engineer Role Overview Title : Senior/Staff Software Engineer Hours ... CI/CD (GitHub Actions or similar), version control (GitHub), containerization (Docker) and ...

New

Data & Infrastructure Engineer

Draper, UT · On-site

$107K - $128K/yr

Manage version-controlled codebases using GitHub, including code reviews, CI/CD pipelines, and ... engineering, platform engineering, or a related field * Strong proficiency in Python and SQL

Showing results 41-60

Github Engineer information

See Utah salary details

$28.2K

$87.2K

$116.1K

How much do github engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for github engineer in Utah is $87,210.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,700.00 and $105,600.00 per year, depending on experience, location, and employer.

What is a GitHub engineer?

A GitHub Engineer is a software professional who specializes in using GitHub, a popular platform for version control and collaboration, to manage code, streamline development workflows, and support software engineering teams. Their responsibilities often include setting up repositories, managing branches, automating workflows with GitHub Actions, and ensuring code quality through pull requests and code reviews. They may also help teams adopt best practices in source control and integrate GitHub with other tools in the development pipeline. This role requires strong knowledge of Git, continuous integration/continuous deployment (CI/CD), and collaborative software development.

How does a GitHub engineer typically collaborate with development teams to streamline code integration and deployment?

GitHub Engineers work closely with development teams to design and optimize continuous integration and deployment (CI/CD) pipelines, ensuring efficient code reviews, automated testing, and seamless merging of code. They often set best practices for branching strategies, manage repository permissions, and help troubleshoot integration issues. Regular collaboration involves participating in sprint planning, code review sessions, and providing technical guidance on using GitHub features effectively. This role is highly cross-functional, requiring strong communication skills and a proactive approach to supporting developers in maintaining code quality and delivery speed.

What are the key skills and qualifications needed to thrive as a GitHub engineer, and why are they important?

To thrive as a Github Engineer, you need a solid background in software development, version control systems (especially Git), and collaborative coding practices, often supported by a degree in computer science or related field. Familiarity with Github workflows, APIs, CI/CD tools, and scripting languages is typically required, along with certifications like GitHub Certified Developer being advantageous. Strong problem-solving abilities, attention to detail, and effective communication are essential soft skills for collaborating across diverse development teams. These skills ensure seamless code collaboration, efficient project management, and the delivery of high-quality software in dynamic environments.

What are popular job titles related to Github Engineer jobs in Utah?

For Github Engineer jobs in Utah, the most frequently searched job titles are:

What cities in Utah are hiring for Github Engineer jobs?

Cities in Utah with the most Github Engineer job openings:

Infographic showing various Github Engineer job openings in Utah as of July 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $87,210 per year, or $41.9 per hour.

Software Engineer - AI

Lightspeed DMS

South Jordan, UT • On-site

Full-time

Re-posted 23 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