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Senior Cloud / DevOps Engineer

Nixil — Australia · Posted ~1 hour ago

Senior Full-time

Skills

Microsoft Azure AWS Terraform Terragrunt Kubernetes Docker CI/CD Azure DevOps Jenkins GitOps PowerShell Python Bash Ansible Cloud security Monitoring Troubleshooting Azure

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Summary ✨ AI‑Generated

Work as a Senior Cloud/DevOps Engineer designing, automating, and supporting secure multi-cloud platforms. You will build Azure infrastructure while supporting AWS, develop infrastructure as code with Terraform and Terragrunt, manage Docker and Kubernetes environments, maintain CI/CD pipelines, and automate deployments using PowerShell, Python, Bash, and Ansible.

Highlights

Design and operate secure, scalable multi-cloud platforms using Azure and AWS, with extensive automation through infrastructure as code, containers, CI/CD, and modern DevOps practices.

Description

Senior Cloud / DevOps Engineer – Azure | AWS | Kubernetes | Terraform We are seeking an experienced Senior Cloud / DevOps Engineer with a strong focus on Microsoft Azure and solid hands-on AWS experience. You will design, automate and support secure, scalable cloud platforms across a multi-cloud environment. Key Responsibilities Design, build and maintain Azure cloud infrastructure, while supporting AWS environments.Develop Infrastructure as Code using Terraform and Terragrunt.Build and manage containerised environments using Docker and Kubernetes.Develop and maintain CI/CD pipelines using Azure DevOps, Jenkins and GitOps.Automate provisioning and deployments using PowerShell, Python, Bash and Ansible.Support cloud security, monitoring, performance, resilience and troubleshooting. Essential Skills Strong hands-on Microsoft Azure experience.Strong Azure DevOps and CI/CD experience.AWS experience is essential.Strong Terraform/Terragrunt experience.Experience with Kubernetes and Docker.Automation/scripting using PowerShell, Python or Bash.Experience with Ansible, Git and GitOps.Strong understanding of cloud security, networking and monitoring. Desirable Experience with CloudFormation, AWS CDK, Splunk, DataDog, Prometheus, Grafana, PostgreSQL, MongoDB, DynamoDB, REST APIs and microservices would be advantageous.