NOWE(5/893)

AI Developer Platform Engineer

MUST HAVE

• 10+ years of experience in platform engineering, data engineering, workflow automation, or DevOps
• Experience building data-centric engineering platforms, DevOps platforms, or internal developer platforms
• Proven experience delivering production-grade pipelines, APIs, automation, and platform integrations
• Hands-on experience with GitHub Copilot (including Custom Agents, Skills, enterprise workflows)
• Strong experience with workflow orchestration tools (e.g., Airflow, Prefect, Dagster, Step Functions)
• Strong SQL and data modeling skills (e.g., medallion/layered architectures)
• Programming experience (Python, Node.js, Scala, or similar) used for tooling, pipelines, APIs, and integrations
• Experience with Infrastructure as Code (Terraform / CloudFormation / Pulumi)
• Experience integrating developer tools (GitHub, CI/CD, IDEs, code quality/security tools)
• Strong understanding of SDLC, DevSecOps, compliance, and engineering workflows

NICE TO HAVE

• Experience building MCP servers (Node, Python, Go)
• Experience with OpenSearch / Elasticsearch
• Experience with graph databases (Neo4j, Amazon Neptune)
• Experience with vector databases/vector search / RAG pipelines
• Experience working in regulated environments (e.g., automotive, finance, healthcare)

PROJECT

We are building an engineering platform that enables GitHub Copilot Custom Agents to support developers across the entire SDLC – including compliance, security, architecture governance, and quality standards.

YOU WILL

• Design and build the technical foundation for GitHub Copilot Custom Agents used across the SDLC
• Build and maintain MCP servers and context infrastructure, exposing engineering data to Copilot agents
• Develop lightweight RAG pipelines and structured developer context databases (code metadata, requirements, architecture, traceability, compliance data)
• Build and maintain Copilot Custom Agents, including skills, tools, hooks, event handlers, and integrations with internal systems
• Implement automated workflows around DevSecOps, code quality, architecture governance, security and compliance scanning, and traceability validation
• Integrate Copilot agents with VS Code, GitHub repositories, PR workflows, CI/CD pipelines, and engineering/security tooling
• Build data pipelines, APIs, and integrations supporting SDLC automation and developer productivity
• Collaborate with DevOps, security, compliance, and engineering teams to embed SDLC standards into developer workflows
• Own solutions end-to-end: design, build, test, validate, and iterate