Infrastructure DevOps Engineer/5+ Years/Pune

2 weeks ago

Pune, India Unicorn Workforce Full time

Job Title: Infrastructure DevOps Engineer Experience: 5+ YearsLocation: Pune (Onsite)Employment Type: Full-Time / PermanentNotice Period: Immediate / 15 DaysAbout the RoleWe 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 ResponsibilitiesLead 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 SkillsStrong 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 SkillsExposure 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 AttributesStrong 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 QualificationMinimum 15 years of full-time education (Bachelor’s Degree in Computer Science, Information Technology, or a related field).

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