Data Engineer Copilot Agent & SDLC Context Platform Engineer
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Job Location:
Monthly Salary:
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
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.
Key Responsibilities
Copilot Agent Development
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
MCP & Context Infrastructure
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)
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 (primary environment)
GitHub repositories and PR flows
CI/CD pipelines
engineering and security tools
Required Experience
Core Skills
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
Preferred Skills
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
Professional Skills
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
Key Skills
About Company
At Infotree, meeting your career needs is a top priority. Client satisfaction is largely dependent on the resources we can provide, and we take pride in our delivery. We have a supportive team in place to give quality people a chance to grow and challenge themselves in their roles whi ... View more
