DevOps Engineer

Job Title: Azure DevOps Engineer - .NET Migration

Location: Sydney

Job Type- Contract

Responsibilities:

• Build and maintain CI/CD pipelines associated with the .Net 8 migration.
• Transition existing systems to Linux containers as part of the modernization program.
• Collaborate with development and operations teams to ensure seamless integration and deployment.
• Monitor and optimize the performance of CI/CD pipelines and containerized environments.
• Implement best practices for CI/CD and containerization.

Requirements:

• Proven experience in a DevOps role with a focus on CI/CD and containerization.
• Strong knowledge of .Net technologies and Linux containers.
• Experience with CI/CD tools and automation frameworks.
• Excellent problem-solving and troubleshooting skills.
• Ability to work effectively in a distributed team environment.

Must-Have Skills:

• Jenkins: Ability to configure a new instance from scratch, basic troubleshooting, creating new jobs, and understanding basic plugins.
• PowerShell: Knowledge of PowerShell scripts, functions, modules, error handling, debugging, and task scheduling.
• Docker: Understanding Docker architecture, writing and optimizing Docker files, managing Docker images, and handling environment variables and secrets inside containers.
• Git: Knowledge of repo structure, branching strategy, Git hooks, merge strategy, and debugging Git issues.
• Azure Cloud: PowerShell automation for Azure, knowledge of infrastructure resources like Vnet, Subnets, Load Balancers, and Azure Monitoring & Logging.
• Terraform: Understanding Terraform fundamentals, modules, variables, outputs, and secret management.
• Linux: Proficiency in Red Hat shell commands for common system admin tasks and familiarity with containerization technologies like Docker on Linux.

Nice to Have:

• Harness CI and CD: Experience with continuous integration and continuous deployment using Harness.

Kubernetes (K8S): Knowledge of key concepts like pods, deployments, services, and namespaces. Experience in deploying and managing containerized applications using Kubernetes