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Senior Analyst

Summary

DevOps Engineer designing and managing secure, scalable Azure cloud platforms with Kubernetes, CI/CD pipelines, and DevSecOps practices within the Platform & Process SDT team.

Job Summary

We are seeking a highly skilled DevOps Engineer to join our Platform & Process SDT team. In this role, you will design, implement, and manage secure, scalable, and automated cloud platforms while driving DevOps best practices across the organization. You will work closely with developers, architects, platform engineers, and operations teams to enable reliable software delivery, cloud infrastructure automation, security compliance, and operational excellence.

The ideal candidate will have strong expertise in Microsoft Azure, Kubernetes, CI/CD pipelines, automation, DevSecOps, and modern data and AI platforms.

What you will do

  • Design, deploy, and maintain cloud infrastructure on Microsoft Azure.
  • Build and manage CI/CD pipelines using Azure DevOps and Git.
  • Deploy and support containerized applications using Kubernetes (AKS) and Docker.
  • Automate operational processes using Python, PowerShell, Bash, Shell Scripting, and Azure CLI.
  • Implement DevSecOps practices, security controls, compliance monitoring, and vulnerability management.
  • Support Azure data and AI platforms including Databricks, Data Factory, Azure OpenAI, and AI Search.
  • Drive platform reliability, performance optimization, cost management, and continuous improvement initiatives.
  • Ensure secure, cost-effective, and reliable service delivery across the software development lifecycle.

We believe you have

  • Bachelor's degree in Engineering, Computer Science, IT, or MCA.
  • 6 to 10 years of experience in DevOps, Cloud Engineering, or Platform Engineering.
  • Strong hands-on experience with Microsoft Azure, Azure AD, Managed Identities, Sentinel, and Defender for Cloud.
  • Expertise in Kubernetes (AKS), Docker, Azure DevOps, Git, and CI/CD pipelines.
  • Proficiency in Python, PowerShell, Bash, Shell Scripting, and Azure CLI.
  • Experience with Azure Key Vault, security scanning, secret management, and DevSecOps practices.
  • Exposure to Azure Databricks, Azure Data Factory, Azure OpenAI, and Azure AI Search.
  • Strong communication, collaboration, and problem-solving skills with a continuous improvement mindset.
  • ITIL certification or familiarity is an advantage.

See also

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