AI Developer Platform Engineer (5/959)

INFOLET SP. Z O.O.; Kraków; On-site; PLN 240,000 - 360,000; Full time

Benefits offered by this job

Relocation package

Extended medical care

Multisport card

Life insurance

Job summary

INFOLET SP. Z O.O. Kraków is seeking a seasoned Platform Engineer to design and build the data, context, and automation backbone for GitHub Copilot Custom Agents across the SDLC.

You will shape the engineering data model, pipelines, and integrations that empower developers. This is a platform, data, and workflow engineering role, not AI model development. You will own end-to-end solutions from design through testing, and collaborate with DevOps, security, and compliance teams to embed SDLC

Qualifications

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

Responsibilities

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

Skills

Platform engineering

Data engineering

DevOps

GitHub Copilot

Workflow orchestration

SQL

Python

Node.js

Terraform

CloudFormation

Pulumi

DevSecOps

SDLC

Tools

Airflow

Prefect

Dagster

Step Functions

OpenSearch

Elasticsearch

Neo4j

Amazon Neptune

VS Code extensions

Job description

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.

This role focuses on building the data, context, and automation backbone that allows Copilot agents to operate with a deep understanding of the engineering environment and development workflows.

This is not an AI model development role – this is a platform, data, and workflow engineering role.

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

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
• Experience working in regulated environments (e.g., automotive, finance, healthcare)
• Knowledge of SDLC and compliance frameworks (ISO 26262, ASPICE, MISRA, ISO 21434)
• Experience with VS Code extension ecosystem
• Experience building Internal Developer Platforms (IDP) or Developer Productivity platforms

OUR OFFER

• The relocation package (4500 PLN total value) is paid in three installments (1500 PLN per month) in case your permanent presence in the office is mandatory, and you need to relocate from another city.
• Benefits: Extended medical care (over 2000 medical facilities in Poland, 80 in Kraków) for you and your family; Multisportcard ; Life insurance