NextAmp

GitHub Copilot SME

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GitHub Copilot SME with a contract length of "unknown," offering a pay rate of "unknown." Remote work is available. Key skills include GitHub, AI, DevOps, and automation. Experience in the insurance industry is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 30, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Greater Boston
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🧠 - Skills detailed
#Automation #Security #DevOps #ChatGPT #Compliance #"ETL (Extract #Transform #Load)" #Licensing #Data Transformations #Debugging #AI (Artificial Intelligence) #Documentation #Strategy #Leadership #API (Application Programming Interface) #Scala #GitHub
Role description
NextAmp is an AI led business transformation partner for insurance industry. We help insurance organizations redesign workflows and build AI-powered, automated systems that improve efficiency, accuracy, and scalability. Our solutions streamline core operational areas including claims processing, underwriting, billing, and back-office operations. Copilot Adoption & Enablement • Lead GitHub Copilot rollout across engineering teams (setup, licensing, security, governance). • Define Copilot usage standards, guardrails, and prompt engineering best practices. • Design Copilot playbooks for different roles: backend, frontend, QA, DevOps, data, and architects. • Establish measurable adoption and productivity KPIs. Developer Coaching • Run live training sessions, workshops, and office hours. • Provide 1:1 and team-level coaching on advanced Copilot usage. • Teach developers how to: • Write high-quality prompts • Use Copilot for refactoring, testing, debugging, and documentation • Combine Copilot with Chat-based AI tools effectively • Create reusable learning material: guides, videos, cheat sheets, examples. Hands-On Engineering • Actively use Copilot in real development workflows. • Demonstrate best practices by coding alongside teams. • Prototype Copilot-accelerated workflows in: • API development • Integration work • Test automation • Data transformations • Legacy code modernization Implementation & Integration • Configure Copilot with GitHub orgs, repos, security controls, and IDEs. • Ensure alignment with: • Code quality standards • Security and compliance • SDLC processes • Work with DevOps and security teams to ensure safe AI usage. AI Developer Experience Strategy • Advise leadership on: • AI maturity models for engineering teams • Roadmap for AI-augmented SDLC • Tooling beyond Copilot (Claude, Cursor, ChatGPT, etc.) • Identify friction points and continuously optimize developer experience.