AI Developer Platform Engineer

Infolet supports IT leaders by delivering technology, experts, and full operational support, including legalization of stay and work for international IT specialists. They have 20 years of experience and work with specialists in various technologies including Java, JavaScript, C embedded, C++, PHP, mobile specialists, software testers, network and system administrators, among others.

• 7+ 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, and enterprise workflows.
• Strong experience with workflow orchestration tools such as Airflow, Prefect, Dagster, or Step Functions.
• Strong SQL and data modeling skills (e.g., medallion/layered architectures).
• Programming experience with Python, Node.js, Scala, or similar for tooling, pipelines, APIs, and integrations.
• Experience with Infrastructure as Code tools like Terraform, CloudFormation, or Pulumi.
• Experience integrating developer tools including GitHub, CI/CD, IDEs, and 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 such as Neo4j or Amazon Neptune.
• Experience with vector databases, vector search, or RAG pipelines.
• Knowledge of SDLC and compliance frameworks like ISO 26262, ASPICE, MISRA, ISO 21434.

• 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.
• Build and maintain Copilot Custom Agents, including skills, tools, hooks, event handlers, and internal system integrations.
• 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 tools.
• 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.