Requirements

Expected technologies

AWS

Azure DevOps

Docker

Kubernetes

GitLab

Python

Terraform

Optional technologies

Jenkins

Ansible

Bash

Operating system

Linux

Our requirements

• 2+ years of experience in DevOps / SRE / Infrastructure Engineering.
• Proven experience managing cloud environments (AWS / Azure / GCP).
• Strong knowledge of Docker, Kubernetes, CI/CD tooling (GitHub Actions, GitLab CI, Jenkins)
• Strong scripting and automation skills (Python, Bash or similar)
• Experience with monitoring and incident response
• Familiarity with IaC (Terraform / Ansible)
• Understanding of security, networking, scalability principles
• Experience working with data workflows and ability to prepare data for automation / AI use cases is a strong plus
• English – professional working proficiency (Polish is a plus)

Optional

• Experience with IoT / telematics integrations (GPS, CAN, tachograph)
• Experience with AI-driven analytics / predictive / LLM based solutions
• Experience in transport, logistics or mobility domain

Your responsibilities

• Architect, deploy, and maintain secure and scalable cloud infrastructure (AWS, Azure, or GCP)
• Design and implement CI/CD pipelines and automated deployment processes
• Manage containerization and orchestration (Docker, Kubernetes, Helm)
• Build Infrastructure as Code (Terraform or similar)
• Develop automation workflows for data pipelines and internal operational processes
• Enable GenAI experimentation and solution prototyping by providing infrastructure, automation patterns, and reusable components
• Set up monitoring, logging, observability and alerting (Prometheus, Grafana, ELK, etc.)
• Implement data security & compliance controls (GDPR, RBAC, encryption, audit logs)
• Optimize cost, reliability and platform performance
• Collaborate with backend engineers, AI specialists, and product owners to accelerate delivery and automation adoption
• Define and execute the DevOps strategy and technical roadmap