Job Description

Job Title: Infrastructure DevOps Engineer Experience: 5+ Years Location: Pune (Onsite) Employment Type: Full-Time / Permanent Notice Period: Immediate / 15 Days About the Role We are looking for an experienced Infrastructure DevOps Engineer to design, implement, and maintain secure, scalable, and automated cloud infrastructure environments. The ideal candidate will have hands-on expertise with Microsoft Azure , Infrastructure-as-Code (IaC) , and CI/CD automation , enabling efficient and reliable cloud operations for AI/ML platforms and enterprise applications. This role involves close collaboration with development, data science, and security teams , ensuring system performance, operational excellence, and compliance with enterprise standards. Key Responsibilities Lead the design, deployment, and automation of cloud infrastructure using IaC tools. Collaborate with cross-functional teams (Dev, Data Science, and Security) to align cloud solutions with business and technical needs. Implement and manage CI/CD pipelines to support continuous integration and deployment. Ensure high availability, scalability, and security across infrastructure environments. Drive Infrastructure-as-Code (IaC) best practices using ARM/Bicep templates and Terraform . Monitor and troubleshoot performance, networking, and reliability issues across Azure environments. Support AI/ML workloads , including data pipelines and model deployment using Azure ML . Establish monitoring, alerting, and incident management processes to ensure operational efficiency. Maintain documentation for infrastructure design, automation scripts, and processes. Required Technical Skills ? Must Have Skills Strong expertise in Microsoft Azure services and cloud infrastructure management . High proficiency in Terraform IaC for provisioning and managing Azure resources. Hands-on experience with CI/CD automation using GitLab or similar platforms. Programming/scripting knowledge: PowerShell, Ansible, YAML , and working understanding of Java / Scala / Python constructs. Proficiency in Docker and Kubernetes for containerization and microservices management. Experience configuring storage accounts, security clusters , and network topologies. ? Good to Have Skills Exposure to Azure Databricks , Azure Data Lake , and Azure ML environments. Familiarity with ARM/Bicep templates for resource provisioning. Understanding of Agile SDLC and DevOps practices. Experience working in AI/ML infrastructure or data engineering environments. Professional Attributes Strong analytical, problem-solving, and troubleshooting skills. Ability to lead infrastructure projects with minimal supervision. Excellent communication and collaboration across technical and non-technical teams. Commitment to automation, scalability, and continuous improvement. Educational Qualification ?? Minimum 15 years of full-time education (Bachelor?s Degree in Computer Science, Information Technology, or a related field).