AI Developer Platform Engineer

HeadHR; Kraków; On-site; PLN 180,000 - 320,000; Full time

Job summary

HeadHR is seeking an experienced platform/data engineer to design and build engineering platforms for SDLC automation. You will create data pipelines, APIs, and integrations with DevOps and security tooling to boost developer productivity.

The role requires 7+ years in platform/data engineering, hands-on experience with distributed data systems, and Terraform or CloudFormation. Join a fast-growing team in Kraków.

Qualifications

• 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, 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.

Responsibilities

• Design and build the technical foundation for 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

Skills

Platform engineering

Data engineering

Workflow automation

DevOps

GitHub Copilot

Workflow orchestration

SQL

Data modeling

Python

Node.js

Scala

Tools

Airflow

Prefect

Dagster

Step Functions

Terraform

CloudFormation

Pulumi

GitHub Copilot

OpenSearch

Elasticsearch

Job description

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

Kogo poszukujemy?

MUST HAVE

• 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, 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
• Knowledge of SDLC and compliance frameworks (ISO 26262, ASPICE, MISRA, ISO 21434)