Middle DevOps Engineer
vakansiya — 2025

Job Summary:

• As a DevOps Engineer, you will be responsible for designing, implementing, and maintaining our infrastructure and CI/CD pipelines. You will collaborate with cross-functional teams to automate processes, improve system reliability, and enhance our development lifecycle. Your expertise in Kubernetes, GitLab CI/CD, and AI-powered DevOps tools will be crucial in achieving these goals.
• Key Responsibilities:
• Design, implement, and maintain Kubernetes clusters to ensure high availability and scalability.
• Develop and manage CI/CD pipelines using GitLab CI/CD to automate the build, test, and deployment processes.
• Integrate AI-powered DevOps tools to optimize and automate various aspects of the development lifecycle.
• Collaborate with development teams to identify and implement best practices for infrastructure automation and monitoring.
• Monitor system performance and implement necessary improvements to ensure reliability and efficiency.
• Manage and maintain infrastructure as code (IaC) using tools like Terraform or Ansible.
• Troubleshoot and resolve production issues in a timely manner.
• Stay up-to-date with the latest trends and technologies in DevOps and cloud computing.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3-5 years of experience in DevOps or a related field.
• Strong knowledge of Kubernetes and experience in managing Kubernetes clusters.
• Proficient in using GitLab CI/CD for building and managing CI/CD pipelines.
• Familiarity with AI-powered DevOps tools and their applications in the development lifecycle.
• Experience with infrastructure as code (IaC) tools such as Terraform or Ansible.
• Strong scripting skills in languages such as Bash, Python, or Go.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.

Preferred Qualifications:

• Certification in Kubernetes and Cloud technologies.
• Experience with containerization technologies such as Docker.
• Knowledge of monitoring and logging tools like Prometheus, Grafana, and ELK stack.
• Experience with configuration management tools like Ansible, Terraform.
• Benefits:
• Competitive salary and performance bonuses.
• Professional development and training opportunities.

How to Apply:

Brain Solutions is a forward-thinking technology company committed to innovation and excellence in software development and machine learning.

Working conditions:
5-day / 8-hour work schedule
Workplace: Chinar Park / Globus Centre Business Center
Salary will be discussed during the interview. Candidates may indicate their salary expectations in the application letter.

Interested candidates are kindly requested to send their CVs to cv@brain.az
, indicating the title of the relevant vacancy in the subject line of the email.