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DevOps Engineer (Microsoft Azure)

Summary

Designs and maintains Azure cloud infrastructure, AKS clusters, and CI/CD pipelines while automating deployments with Terraform and Azure DevOps.

Permanent position, Salary up to $6,000

Comfortable for 24/7 on-call rotation

Key Responsibilities
  • Design, deploy, and manage cloud infrastructure on Microsoft Azure.
  • Build, maintain, and optimize Azure Kubernetes Service (AKS) environments for containerized applications.
  • Manage SQL and MongoDB databases, including backup, performance tuning, and scalability.
  • Develop, implement, and maintain CI/CD pipelines using Azure DevOps and related tools.
  • Automate infrastructure provisioning and configuration using Terraform (Infrastructure as Code).
  • Deploy, manage, and monitor Apache Kafka and Kafka Connect environments across SaaS/PaaS platforms.
  • Develop automation scripts using Bash, PowerShell, and other scripting languages.
  • Implement monitoring and observability solutions to ensure system reliability, performance, and proactive alerting.
  • Integrate DevSecOps tools to enhance code quality, vulnerability management, and security compliance.
  • Ensure cloud infrastructure and deployment processes adhere to security best practices and governance standards.
  • Collaborate closely with software development teams to streamline release pipelines, resolve production issues, and continuously improve deployment processes.
  • Support operational excellence through incident response, troubleshooting, and ongoing platform enhancements.
  • Participate in a 24/7 on-call rotation to provide support for critical production incidents when required.
Requirements
  • Bachelor's degree in Computer Science, Information Technology, or a related discipline.
  • 1-3 years of experience in a DevOps, Cloud, or Platform Engineering role, supporting software development teams.
  • Hands‑on experience managing cloud infrastructure, preferably on Microsoft Azure.
  • Experience with Azure Kubernetes Service (AKS), Docker, and containerized application environments.
  • Strong knowledge of CI/CD pipelines and tools such as Azure DevOps.
  • Experience implementing Infrastructure as Code (IaC) using Terraform.
  • Familiarity with microservices architecture and modern cloud-native technologies.
  • Solid understanding of Linux and Windows operating systems.
  • Experience with .NET, Python, JavaScript, Datadog, Snyk, or Apache Kafka will be considered an advantage.
  • Relevant certifications in Microsoft Azure, Kubernetes, Terraform, or cloud technologies are a plus.

Reg No. R1875181

Triton AI Pte Ltd

License no. 21C0661

See also