DevOps Engineer

Sigma Software; Województwo małopolskie; On-site; PLN 180,000 - 240,000; Full time

Job summary

Sigma Software is seeking a DevOps Engineer to join a growing team of 30+ specialists in Poland. You will own and improve CI/CD pipelines, build Kubernetes-based environments, and collaborate with development teams to boost reliability and performance.

You have 3+ years of hands-on experience with Docker, Kubernetes, Terraform, Ansible, and scripting in Bash or Python, plus strong Azure DevOps and security-minded practices.

Qualifications

• 3+ years of commercial DevOps or Infrastructure experience.
• Hands-on with Docker and Kubernetes in production.
• Experience with CI/CD pipelines and scripting languages.

Responsibilities

• Participate in infrastructure and environment architecture planning
• Design, implement, and improve CI/CD pipelines and automation processes
• Build and maintain scalable Kubernetes-based environments
• Optimize infrastructure performance, reliability, and operational efficiency
• Troubleshoot production infrastructure, networking, and application delivery issues
• Support and maintain existing environments
• Implement infrastructure security best practices and access control
• Collaborate with development teams on infrastructure topics
• Participate in incident response and post-incident improvements
• Drive continuous improvement and new technology adoption

Skills

Docker

Kubernetes

Azure DevOps

YAML pipelines

Terraform

Ansible

Bash

Python

PowerShell

Grafana

OpenSearch/Elasticsearch

HashiCorp Vault

TLS / security

Incident response

English communication

Tools

Docker

Kubernetes

Azure DevOps

Job description

We are inviting a DevOps Engineer to work in a top-notch DevOps team, which includes more than 30 talented specialists and continues to grow.

This is an unique opportunity to become part of a high-performing team, working with industry best practices and modern methodologies. You'll have the chance to take ownership, contribute to key projects, and excel in a dynamic and collaborative environment.

• Participate in infrastructure and environment architecture planning


• Design, implement, and improve CI/CD pipelines and automation processes


• Build and maintain scalable Kubernetes-based environments


• Optimize infrastructure performance, reliability, and operational efficiency


• Troubleshoot production infrastructure, networking, and application delivery issues


• Support and maintain existing environments


• Implement infrastructure security best practices, secrets management, and access control


• Collaborate closely with development teams on infrastructure-related topics


• Participate in incident response, root-cause analysis, and post-incident improvements


• Drive continuous improvement initiatives and recommend new technologies and practices

• 3+ years of commercial experience as a DevOps Engineer or Infrastructure Engineer


• Strong hands-on experience with Docker and Kubernetes


• Solid experience with CI/CD pipelines in Azure DevOps


• Good knowledge of YAML pipelines, reusable templates, approval gates, and Azure Repos governance


• Experience managing Linux and Windows build agents and Azure Artifacts feeds


• Practical experience with Terraform and/or Ansible


• Strong scripting skills with Bash and Python or PowerShell


• Experience with monitoring and observability tools such as Grafana, OpenSearch, or Elasticsearch


• Strong understanding of infrastructure and application security principles


• Experience with HashiCorp Vault or similar secrets management solutions


• Experience managing TLS certificates and secure infrastructure configurations


• Understanding of least privilege, network segmentation, and isolated environments


• Experience troubleshooting production systems and participating in incident response


• Upper-Intermediate English level

WILL BE A PLUS:

• AWS experience with EC2, S3, IAM, RDS, and VPC


• Experience with AI infrastructure or LLM-powered services


• Knowledge of Azure AI Foundry, OpenAI APIs, or Anthropic APIs


• Experience monitoring and supporting AI workloads in production


• Experience integrating AI-related automation into CI/CD pipelines


• Practical use of AI coding assistants such as GitHub Copilot or Claude Code


• Knowledge of AI-related data protection and audit logging practices

PERSONAL PROFILE

• Proactive and ownership-driven mindset


• Strong communication and collaboration skills


• Strong analytical and problem-solving skills


• Ability to work effectively in a collaborative team environment


• Attention to detail and commitment to infrastructure reliability


• Eagerness to learn and explore new technologies