Cloud/ DevOps Engineer

Job summary

The Cloud DevOps Engineer role involves building, automating, securing, and supporting cloud platforms on AWS and Microsoft Azure. Key responsibilities include maintaining AWS infrastructure using Infrastructure as Code, supporting various AWS services, developing Terraform modules, and enhancing deployment processes through CI/CD pipelines. The position emphasizes collaboration with software engineering teams to improve cloud infrastructure and operational efficiency.

Benefits

Qualifications

• Good hands-on experience with Amazon Web Services and/or Microsoft Azure.
• Experience with a range of cloud services such as EKS/AKS, EC2, ECS/Fargate, IAM, VPC/Virtual Networks, Route53, CloudFront, RDS, S3, ALB, Systems Manager, CloudWatch, Azure Storage and Azure Monitor.
• Experience with Terraform, CloudFormation or similar Infrastructure as Code tooling.
• Experience with Git, GitHub, GitHub Actions and CI/CD practices.
• Bash or PowerShell scripting skills and experience working with Linux environments.
• Familiarity with monitoring, logging, cloud security and IAM best practices.
• Good troubleshooting, communication and collaboration skills.
• Experience working with software engineering or Agile delivery teams.
• An automation-first mindset and willingness to take ownership of delivering reliable, high-quality solutions.

Responsibilities

• Build, maintain and support AWS cloud infrastructure using Infrastructure as Code principles.
• Support AWS services including EKS, EC2, ECS/Fargate, RDS, S3, CloudFront, Route53, ALB, VPC, IAM, Systems Manager and CloudWatch.
• Develop and maintain Terraform modules and reusable infrastructure patterns.
• Build and support CI/CD pipelines using GitHub Actions and related tooling.
• Work with development teams to improve deployment processes and release automation.
• Apply cloud security best practices and support security remediation activities.
• Maintain monitoring, logging and alerting solutions and participate in incident investigation and root cause analysis.
• Automate repetitive operational activities and use AI-assisted engineering tools to support troubleshooting, documentation and operational efficiency.
• Contribute to continuous improvements across cloud platforms, tooling and engineering practices.

Skills

Relocation