Data Engineer Copilot Agent & SDLC Context Platform Engineer

Infotree Global Solutions • Webster, MA

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About The Position

We are seeking a Copilot Agent & SDLC Context Platform Engineer who will design and build the technical foundation for GitHub Copilot Custom Agents that support developers in achieving SDLC, compliance, security, and quality standards.
This role focuses on constructing the data systems, context layers, and workflows that allow Copilot agents in VS Code to operate with a deep understanding of our engineering environment.
You will build and maintain MCP servers, lightweight RAG pipelines, and structured developer context databases that provide agents with rich knowledge about code, requirements, architecture, traceability, and compliance.
You will further integrate these systems into the SDLC through automations, events, orchestrations, and workflow logic, enabling full visibility and actionable insights across engineering and tooling ecosystems.
This is not an AI model development position.
This is a systems, data, and workflow engineering role focused on assembling the context and automation backbone required for intelligent Copilot agents to significantly enhance developer productivity and SDLC adherence.

Requirements

• 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) VS Code extension environment or deep platform-level knowledge workflow orchestration (Airflow, Prefect, Dagster, Step Functions) SQL, data modeling, and medallion/layered architectures Python/Node/Scala for tooling, pipelines, MCP servers, and integrations Terraform / CloudFormation / Pulumi
• Ability to communicate technical decisions, complexity, and trade-offs
• Strong reasoning about data organization, developer workflows, and compliance logic
• Ability to operate independently in ambiguous environments
• Collaboration with DevOps, security, compliance, and engineering teams
• Ownership mindset: build, test, validate, iterate

Nice To Haves

• Experience building MCP servers (Node, Python, Go)
• Experience with: OpenSearch / Elasticsearch Neo4j / Amazon Neptune Vector search frameworks
• Background in automotive, regulated software, or SDLC frameworks: ISO 26262 ASPICE MISRA ISO 21434

Responsibilities

• Build and maintain GitHub Copilot Custom Agents, including: custom instructions/personas skills, tools, hooks, event handlers integrations with internal APIs, databases, and SDLC systems agent workflows to support SDLC, compliance, security scanning, and quality gates
• Develop Model Context Protocol (MCP) servers to expose structured engineering data and insights into Copilot: metadata from codebases requirements and test links security signals architecture dependencies SDLC rules and compliance data
• Establish structured developer context databases for the agent environment: SQL repositories graph databases metadata catalogs vector indexes for lightweight RAG (pragmatic, not research-heavy)
• 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 (primary environment) GitHub repositories and PR flows CI/CD pipelines engineering and security tools

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees