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.
Job Description- 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
Skills Required
- 3+ years of commercial experience as a DevOps Engineer or Infrastructure Engineer
- Hands-on experience with Docker and Kubernetes
- Experience with CI/CD pipelines in Azure DevOps
- 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
- 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
What We Do
Sigma Software Group, an award-winning and trusted IT partner, has been serving customers for over 21 years, providing comprehensive IT solutions to various businesses, ranging from startups to established software product houses. As one of Europe's substantial IT consultancies, it brings together a dedicated workforce of over 2,100 professionals in 40 offices across 19 countries. With a diverse client base, including more than 300 enterprises, including Fortune 500 stalwarts, Sigma Software Group is a preferred choice for developing solutions that help businesses create cutting-edge products while meeting their unique needs. Sigma Software Group operates as a dynamic ecosystem of tech companies, offering 25 ready-to-implement innovative products and 40+ value-added services. Furthermore, Sigma Software Group is committed to fostering innovation through initiatives such as the Sigma Software Labs business incubator, Sigma Software University, the SID Venture Partners VC Fund, UA Tech Network, Techosystem, the European Business Association, and other collaborative efforts. Since 2015, Sigma Software Group has consistently earned recognition on the IAOP's prestigious World's Top 100 Outsourcing list. The company's accomplishments have also been acknowledged by prominent global media outlets such as Forbes, CNBC, The Times, and Reuters
