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Full Time Github Software Engineer Jobs in Milwaukee, WI

... using GitHub Actions - Implementing vector databases and orchestration tools like LangChain - Translating complex business problems into software-engineered AI solutions - Deploying on cloud ...

Conduct functional, automated and regression testing during different phases of software ... Using GIT, GITHub, Jenkins, Azure DevOps, and Gitlab; Working with QA methodologies and automation ...

Electrical Engineer

Milwaukee, WI · Hybrid

$90K - $120K/yr

Primarily 1 st Shift with Some Travel Employment Type: Full-Time Relevant Engineering provides ... Experience using Autodesk Revit and BIM software is preferred, not required. * Strong understanding ...

This is a full-time position with a full benefit package listed below that includes opportunities ... This role involves using computer-aided design (CAD) software and other tools to create sheet metal ...

Design Engineer

Muskego, WI · On-site

$55K - $70K/yr

The ideal candidate will have experience with CAD design software such as SolidWorks and/or ... We offer full-time career opportunities, a clean and climate-controlled shop environment, and room ...

Design Engineer

Muskego, WI · On-site

$55K - $70K/yr

The ideal candidate will have experience with CAD design software such as SolidWorks and/or ... We offer full-time career opportunities, a clean and climate-controlled shop environment, and room ...

Showing results 41-60

Full Time Github Software Engineer information

See Milwaukee, WI salary details

$62.6K

$145.3K

$202.5K

How much do full time github software engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for full time github software engineer in Milwaukee, WI is $145,346.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,200.00 and $170,400.00 per year, depending on experience, location, and employer.

How do full time GitHub software engineers typically collaborate with other teams within the organization?

Full Time Github Software Engineers often work closely with cross-functional teams, including product managers, designers, and quality assurance engineers. Collaboration usually happens through agile methodologies like daily stand-ups, sprint planning, and code reviews, ensuring alignment on product goals and technical implementation. Engineers are encouraged to participate in open discussions, contribute to architectural decisions, and provide feedback during pull requests. This collaborative environment fosters innovation and helps deliver high-quality software that meets user needs.

What does a full time GitHub software engineer do?

A Full Time GitHub Software Engineer is responsible for designing, developing, and maintaining software products and services for GitHub. They work on a variety of projects, including improving the GitHub platform, building new features, fixing bugs, and ensuring the reliability and security of the services. Collaboration with other engineers, designers, and product managers is a key part of the role, along with contributing to open source projects and participating in code reviews.

How much do full time GitHub software engineers make?

Full-time GitHub software engineers typically earn between $100,000 and $160,000 annually, depending on experience, location, and level. Compensation may also include stock options, bonuses, and benefits, especially at larger tech companies or in competitive markets.

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

To thrive as a Full Time Github Software Engineer, you need strong programming skills (such as in Ruby, Go, or JavaScript), experience with distributed systems, and a relevant degree or equivalent experience. Familiarity with Git, CI/CD pipelines, cloud platforms, and code review systems is typically essential, along with knowledge of GitHub's own products and APIs. Excellent problem-solving, communication, and collaboration skills are crucial for working effectively on cross-functional teams and contributing to open-source projects. These abilities are vital for building scalable software, maintaining high-quality codebases, and driving innovation at a globally impactful company like GitHub.

What is the difference between Full Time Github Software Engineer vs Full Time Software Developer?

AspectFull Time Github Software EngineerFull Time Software Developer
Required CredentialsBachelor's in CS, GitHub proficiency, coding skillsBachelor's in CS or related field, coding skills
Work EnvironmentCollaborative, remote or office, open-source focusOffice or remote, project-based
Industry UsageTech companies, open-source projects, startupsWide range of industries, corporate and startups
Common Search IntentFocus on GitHub skills, open-source contributionsGeneral software development roles

The main difference is that a Full Time Github Software Engineer specializes in using GitHub for version control, collaboration, and open-source projects, often requiring GitHub-specific skills. A Full Time Software Developer has a broader role in software creation across various platforms and tools. Both roles require strong coding skills, but the Github role emphasizes open-source collaboration and GitHub platform expertise.

What are popular job titles related to Full Time Github Software Engineer jobs in Milwaukee, WI?

For Full Time Github Software Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:

Infographic showing various Full Time Github Software Engineer job openings in Milwaukee, WI as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $145,346 per year, or $69.9 per hour.

Senior AI Solutions Engineer

Bruno Independent Living Aids, Inc.

Oconomowoc, WI • On-site

$55.25 - $71.25/hr

Full-time

Re-posted 14 days ago


Job description

Overview
Architect, develop, and deploy software solutions at high velocity using an AI-first, agentic development workflow. This role demands a language-agnostic polyglot developer who leverages LLM-powered coding agents as a force multiplier to deliver 10x the output of traditional development approaches. Additional responsibilities include system integrations, BI solutions, and supporting Tech-Ops infrastructure on-premises and in-cloud.
Responsibilities
AI-FIRST SOFTWARE DEVELOPMENT
  • Scope, design, develop, and deploy software applications, integrations, APIs, and database services using agentic LLM coding workflows as the primary development methodology.
  • Maintain and extend existing ERP customizations and develop new solutions across multiple languages and platforms, selecting the best tool for each task.
  • Maintain and extend integration platform operations (e.g., Jitterbit) and CRM customizations (e.g., Salesforce APEX), leveraging AI-assisted coding for rapid iteration.
  • Participate in review / recommendation of externally purchased IT solutions and services.
  • Manage hardware and software vendor relationships
  • Champion and evangelize AI-first development practices across the IT team; mentor peers on agentic coding workflows, prompt engineering, and LLM-augmented development to accelerate team-wide adoption and output.
  • Design and build custom LLM agent harnesses and multi-agent architectures, including manager/supervisor agent patterns that orchestrate swarms of specialized sub-agents to decompose and execute complex development and business automation tasks.
  • Create and maintain documentation, training materials, and AI workflow playbooks for IT systems, software, integrations, APIs, and development procedures

BUSINESS ANALYSIS
  • Work closely with company managers to identify informational needs and develop solutions to provide efficient information processing and valuable information for business analysis
  • Provide lifecycle support of applications and contribute to the development of new concepts, techniques, and standards
  • Implement and manage long-term, system-wide IT initiatives that align with the company's business strategy and objectives

HARDWARE AND PLATFORM SUPPORT
  • Recommend and participate in the deployment, monitoring, maintenance, development, upgrade and support of IT hardware and software including telecommunications, servers, PC's, operating systems, and office automation equipment - both on premise and in-cloud PaaS & IaaS
  • Benchmark, analyze, report on and make recommendations for improvement of and growth of IT infrastructure and IT systems
  • Recommend efficient and cost-effective technological equipment, systems, platforms and services
  • Identify problematic areas and implement strategic solutions in a timely manner
  • Maintain confidentiality of proprietary information
  • Stay current with rapidly evolving AI/LLM tooling, agentic frameworks, and emerging development paradigms; continuously evaluate and adopt new AI-powered development tools

Qualifications
Education and Experience:
  • Position requires a Bachelor's degree in computer science or related field and a minimum of 6 years progressive experience with 3 years preferably in a mid-sized manufacturing environment.
  • Candidate must demonstrate a proven AI-first development workflow using agentic LLM coding tools (e.g., Claude Code, GitHub Copilot Workspace, Cursor, Windsurf, or similar) as their primary development method.
  • Must be a language polyglot comfortable architecting and delivering solutions across multiple technology stacks rather than being tied to a single language or framework.
  • Required experience includes SQL, RESTful APIs, system integrations, GIT, BI reports/dashboards, databases, and vendor management.
  • Proficiency in prompt engineering for code generation, agentic task orchestration, and AI-assisted debugging is essential.
  • Experience with .NET/C#, JavaScript/TypeScript, Python, or other modern languages expected; experience with Epicor, Jitterbit, and Salesforce preferred.
  • Strong preference for candidates who have built custom LLM agent harnesses, orchestrated multi-agent swarms under a manager/supervisor agent pattern, or developed agentic pipelines that coordinate specialized sub-agents for complex, multi-step workflows.

Knowledge, Skills and Abilities:
  • Proven expertise with agentic LLM coding tools and AI-assisted development workflows.
  • Ability to work fluently across multiple programming languages and technology stacks without being dependent on any single ecosystem.
  • Strong prompt engineering skills for code generation, debugging, and architectural planning.
  • Familiarity with multi-agent system design, including manager-agent orchestration layers and agent swarm coordination patterns.
  • Read, analyze, and interpret a variety of information, such as technical procedures, business correspondence, and governmental regulations furnished in written, oral or diagram form.
  • Effectively present information to employees, management, and customers.
  • Create business-level written correspondence and verbally present information to large or small groups, both internally and externally.
  • Requires Microsoft Office proficiency and the ability to operate a variety of standard office equipment.

Working Conditions/Physical Demands:
  • Office environment, with occasional lifting and bending