Senior GenAI Engineer, GitHub Copilot, Azure
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Job Description
Engineer operationalizing GitHub Copilot in software development to enhance productivity and quality. Collaborating across teams to ensure secure adoption and continuous improvement.
Responsibilities:
- Own and evolve an enterprise-ready Copilot enablement approach: usage patterns, prompt standards, and governance for regulated environments.
- Create and curate a repository-backed library of reusable prompt files (.github/prompts) for common engineering scenarios (bug fixes, brownfield enhancements from user stories, refactoring, test generation, security remediation).
- Author and maintain custom instruction files (repository and organization patterns) to enforce coding standards, architecture conventions, error handling, logging, and testing practices.
- Design interactive ‘guided’ prompts that ask one question at a time, minimize friction for low adopters, and require user confirmation before applying code changes.
- Collaborate with teams to integrate Copilot into day-to-day workflows in Visual Studio and GitHub (PR templates, checklists, review guidance).
- Define and implement guardrails so AI-assisted code can’t land without required quality and security signals (tests, reviews, and automated scanning).
- Configure and enforce GitHub Advanced Security practices where applicable (CodeQL code scanning, dependency review/alerts, secret scanning/push protection) and integrate results into PR gating.
- Establish measurement for AI-assisted development: Copilot usage metrics (suggested vs added LOC, acceptance actions) and repo outcomes (review cycle time, defect inflow proxies, security findings), with clear limitations and directional interpretation.
- Partner with AppSec and compliance stakeholders to ensure safe handling of sensitive data in prompts, logs, and test artifacts.
- Contribute to and review C#/.NET codebases (ASP.NET Core, EF Core) to ensure Copilot guidance and templates match real architecture and patterns.
- Develop LLM-powered workflows on Azure (Azure OpenAI) to support developer experience and engineering insights (e.g., PR summarization, guided debugging, quality dashboards).
- Implement prompt contracts, tool/function calling patterns, and evaluation harnesses for reliability, cost, and safety.
- Where needed, build retrieval-augmented generation (RAG) pipelines and connectors to enterprise knowledge sources with grounding/citations.
Requirements:
- 5–7 years of software engineering experience delivering production systems with strong engineering discipline (testing, reviews, CI/CD).
- Hands-on experience using GitHub Copilot in professional development workflows; ability to design and operationalize prompt files, custom instructions, and reusable agent-like workflows for teams.
- Practical experience with .NET (C#) and modern application development (ASP.NET Core and/or EF Core); able to read, debug, and implement changes confidently.
- Strong GitHub fundamentals: branching strategies, PR-based delivery, code reviews, and GitHub Actions (or equivalent CI).
- Security-minded engineering: familiarity with secure coding practices and integrating automated checks (SAST, dependency scanning, secret detection) into the delivery pipeline.
- Azure fundamentals for deploying services (App Service/Functions/Container Apps) and secure configuration (Key Vault, RBAC).
- Ability to convert moderately detailed requirements into clear designs (ADRs/sequence diagrams) and production-ready implementations.
Benefits:
- Opportunity to work on challenging, impactful projects leveraging the latest technologies.
- A collaborative and supportive team environment where your contributions are recognized.
- Access to resources and opportunities for continuous learning and skill development.
- Recognition for your technical expertise and problem-solving abilities.
- Career growth in a fast-paced, innovative organization.
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