Copilot Agent & SDLC Context Platform Engineer

We are seeking a Copilot Agent & SDLC Context Platform Engineer to design and build the technical foundation for GitHub Copilot Custom Agents that support developers in achieving SDLC, compliance, security, and quality standards. The role focuses on constructing data systems, context layers, and workflows that allow Copilot agents in VS Code to operate with deep understanding of the engineering environment.

• 10+ years in data engineering, workflow automation, or platform engineering
• Strong experience building data-centric engineering or DevOps platforms
• Proven track record delivering production-grade pipelines, APIs, and context systems
• Hands-on experience with GitHub Copilot (including Custom Agents, Skills, and enterprise workflows)
• Experience with VS Code extension environment or deep platform-level knowledge
• Experience with workflow orchestration tools such as Airflow, Prefect, Dagster, Step Functions
• Proficiency in SQL, data modeling, and medallion/layered architectures
• Programming skills in Python, Node, Scala for tooling, pipelines, MCP servers, and integrations
• Experience with Terraform, CloudFormation, or Pulumi

Preferred Skills:

• Experience building MCP servers using Node, Python, or Go
• Experience with OpenSearch, Elasticsearch
• Experience with Neo4j, Amazon Neptune
• Experience with vector search frameworks
• Background in automotive, regulated software, or SDLC frameworks such as ISO 26262, ASPICE, MISRA, ISO 21434

Copilot Agent Development:

• Build and maintain GitHub Copilot Custom Agents including custom instructions/personas, skills, tools, hooks, event handlers
• Integrate with internal APIs, databases, and SDLC systems
• Develop agent workflows to support SDLC, compliance, security scanning, and quality gates

MCP & Context Infrastructure:

• Develop Model Context Protocol (MCP) servers to expose structured engineering data and insights into Copilot including metadata from codebases, requirements and test links, security signals, architecture dependencies, SDLC rules and compliance data
• Establish structured developer context databases such as SQL repositories, graph databases, metadata catalogs, and vector indexes for lightweight RAG

Workflow & SDLC Automation:

• Implement automated workflows around DevSecOps, code quality and static analysis, architecture governance, security/compliance scanning, dependency and traceability validation
• Integrate agent capabilities into VS Code, GitHub repositories and PR flows, CI/CD pipelines, engineering and security tools