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Github Copilot Jobs in Oregon (NOW HIRING)

GitHub Copilot Adoption Framework (GCAF) Collaborative Engineer (Remote + international travel) We are seeking an AI-forward Software Engineer with expert-level knowledge of GitHub Copilot and Amazon ...

... GitHub Copilot, Claude, Codex) to accelerate delivery, prototype faster, and raise the bar on code quality across the team. โ€ข Partner with middleware and mobile engineers to define clean API ...

Full Stack Developer

OR ยท On-site +1

Experience using AI development tools such as Cursor, GitHub Copilot, or Claude Code. * Familiarity with CI/CD tools and practices, preferably GitHub Actions or equivalent. * Bachelor's or Master ...

Cloud Automation Engineer

OR ยท On-site +1

Familiarity with AI coding agents (Claude Code, GitHub Copilot, Codex) in a professional engineering setting * Experience supporting federal clients or federal compliance frameworks (FedRAMP, IL5)

Be Seen First

About the Role Build the technical implementation of a system that captures GitHub Copilot CLI agent traces across developer machines, scrubs sensitive content centrally in Azure, and serves a ...

New

Senior Software Engineer

OR ยท On-site +1

$122K - $161K/yr

Demonstrated ability to leverage AI-assisted tools (e.g., Codex, GitHub Copilot, ChatGPT) to accelerate coding, debugging, and boilerplate generation . * Practical experience with GenAI/LLM ...

Solutions Architect

OR ยท On-site +1

$63 - $83/hr

Active daily use of AI coding tools (Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent) with demonstrated judgment about when to trust, verify, and correct AI-generated output. * Ability to ...

Senior Salesforce Developer

OR ยท On-site +1

$125K - $153K/yr

Leverage AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor) as part of a daily development workflow, including writing effective prompts and iterating with AI tools to accelerate ...

Sr. ERP Developer

OR ยท On-site +1

Practical experience applying AI tools (GitHub Copilot, Claude, ChatGPT, or similar) to speed up ERP and SQL development, code review, and troubleshooting, with the judgment to validate output and ...

Senior Software Architect, DriveOS

OR ยท On-site +1

$129K - $175K/yr

... GitHub Copilot). Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, ...

Demonstrated experience using AI-assisted productivity, development, research, troubleshooting, and code-generation tools (e.g., Claude, OpenAI Codex, GitHub Copilot, Cursor, enterprise AI platforms ...

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Showing results 1-20

Github Copilot information

See Oregon salary details

$34.4K

$86.4K

$133.2K

How much do github copilot jobs pay per year?

As of Sep 9, 2026, the average yearly pay for github copilot in Oregon is $86,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $107,800.00 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 Oregon?

For Github Copilot jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Github Copilot jobs in Oregon look for?

The top searched job categories for Github Copilot jobs in Oregon are:

What cities in Oregon are hiring for Github Copilot jobs?

Cities in Oregon with the most Github Copilot job openings:

Infographic showing various Github Copilot job openings in Oregon as of August 2026, with employment types broken down into 31% Full Time, 67% Part Time, and 2% Contract. Highlights an 21% Physical, 2% Hybrid, and 77% Remote job distribution, with an average salary of $86,433 per year, or $41.6 per hour.

AI-forward Software Engineer

Beaverton, OR โ€ข On-site

JS Consulting
Custom Software Development Servicesย โ€ขย 1 - 10 employees

Contractor

Re-posted 5 days ago


Job description

Job Title- AI-forward Software Engineer

Project Location – (Remote + international travel) (expenses paid by client for the international travel)

Duration- 6+ months contract

Visa- USC/ GC/ GCEAD/ H4EAD

Must have Valid LinkedIn profile.

Job Description-: This is a unique position as it'll require hands-on coding in BOTH GitHub Copilot AND Amazon Q, previous mentorship/training experience (think: paired programming, or DevRel type work), and will very likely require international travel (India is confirmed as a primary location, possibly Europe and, South America). 
These individuals will be supporting ~50 engineers, over 2-week sprints. for a total of 30 weeks. The rotation, work schedule, and travel plans are all up in the air, so we need to talk to contractors that'll be flexible. 

GitHub Copilot Adoption Framework (GCAF) Collaborative Engineer (Remote + international travel)

We are seeking an AI-forward Software Engineer with expert-level knowledge of GitHub Copilot and Amazon Q features. With both hands-on experience, and mentoring capabilities, this individual will design and deliver structured hands-on developer sprints centered around AI.
This contractor opportunity is likely to include international travel for an extended period of time (potentially 4-6 weeks). For more details, please review the description below.

 Key Responsibilities

  • Design and deliver structured, hands-on developer sprints focused on GitHub Copilot and Amazon Q.
  • Facilitate live coding sessions, demonstrations, and collaborative labs.
  • Mentor developers through real-world challenges, providing guidance on prompt engineering, debugging, and feature implementation.
  • Develop and maintain instructional materials, including curriculum, documentation, and best-practice guides.
  • Adapt instructional strategies based on participant feedback and learning progress.
  • Promote responsible AI usage, including security, ethics, and data privacy considerations.

 Required Skills & Proficiencies

  • Generative AI & Tool Expertise, including MCP usage and Agentic Orchestration
  • Expert-level knowledge of GitHub Copilot and Amazon Q features, including Copilot Chat agents and Amazon Q’s /dev command.
  • Advanced prompt engineering skills for both platforms.
  • Understanding of Copilot Enterprise and Amazon Q for Business, including RAG and internal codebase reasoning.
  • Intermediate understanding of LLM fundamentals, AI ethics, and security practices.
  • Strong problem-solving mindset and diagnostic skills.
  • Passion for generative AI and developer enablement.

 Instructional & Communication Skills

  • Advanced curriculum development and public speaking abilities.
  • Expert-level live coding and demonstration skills.
  • Strong mentoring and facilitation capabilities.
  • Intermediate technical writing skills for post-sprint resources.

 Technical & Development Skills

  • Advanced proficiency in at least one of Python, JavaScript/TypeScript, or Java.
  • Expert fluency with IDEs such as VS Code and JetBrains.
  • Deep understanding of GitHub Flow, Agile practices, and version control.
  • Intermediate knowledge of cloud and DevOps fundamentals (AWS, IaC, CI/CD).
  • Strong grasp of testing and debugging strategies.

 Preferred Qualifications:

  • Certifications in cloud platforms (e.g., AWS) or DevOps practices.
  • Contributions to open-source or developer communities.
  • Patience, empathy, and adaptability in instructional settings.