DevOps Engineer – Cloud Infrastructure & Automation

• Design, build and manage CI/CD pipelines using tools like Jenkins, GitLab CI or GitHub Actions.
• Manage cloud infrastructure on AWS using Infrastructure as Code tools such as Terraform, Ansible or CloudFormation.
• Containerize applications and handle orchestration with Docker and Kubernetes.
• Work with development, QA and product teams to improve coding, testing and release workflows.
• Monitor system health and performance using monitoring tools and set up alerts and logging.
• Investigate production incidents, perform root cause analysis and participate in an on-call rotation to resolve critical issues.
• Automate operational tasks to reduce manual work and errors.
• Implement security best practices across development and deployment pipelines, including application security testing and secrets management.
• Manage version control and branching strategies using Git.
• Optimize cloud infrastructure for better performance, scalability and cost-efficiency.
• Troubleshoot complex issues across systems and applications.
• Support disaster recovery and business continuity processes.
• Document system architecture and deployment procedures.
• Participate in code and infrastructure reviews and promote continuous improvement.
• Provide maintenance and support for existing systems and contribute to improving software delivery.

• Bachelor's degree in Computer Science, Software Engineering, Information Technology or related field.
• 2 to 3 years of experience in DevOps, Site Reliability Engineering or Infrastructure/Systems Engineering.
• Experience building and maintaining CI/CD pipelines with tools like Jenkins, GitLab CI or GitHub Actions.
• Strong practical knowledge of AWS services such as EC2, S3, RDS, EKS and VPC; experience with Azure or Google Cloud is a plus.
• Experience with Infrastructure as Code tools like Terraform, Ansible or CloudFormation.
• Hands-on experience with Docker and Kubernetes for containerization and orchestration.
• Proficient scripting skills in Python and Bash/Shell for automation.
• Working knowledge of Linux system administration.
• Experience using monitoring and observability tools such as Prometheus, Grafana, ELK Stack, DataDog or CloudWatch.
• Strong skills in Git version control and collaborative workflows.
• Familiarity with relational and NoSQL databases like MySQL, PostgreSQL and MongoDB in an operational context.
• Understanding of networking basics and security best practices including static and dynamic application security testing, container vulnerability scanning and secrets management.
• Strong problem-solving and root cause analysis abilities.
• Good communication, teamwork and cross-functional collaboration skills.
• Self-motivated and able to work independently and as part of a team.
• Willingness to participate in a 24/7 on-call rotation to support production incidents outside business hours.
• Having a portfolio of projects or certifications such as AWS, Azure, GCP or Kubernetes is highly desirable.

Apply through the employer's official contact. The employer has not published a closing date.