Role Summary
We are seeking a highly skilled Cloud Platform / Systems Engineer with strong experience in Azure cloud infrastructure, Linux/Windows operating systems, automation, and platform engineering. The ideal candidate should possess hands-on production support and engineering experience in cloud-native environments, with a strong focus on automation, DevOps practices, Kubernetes, and Infrastructure as Code (IaC).
This role will support the transition from traditional infrastructure operations to a modern platform engineering model with end-to-end ownership of infrastructure lifecycle management, automation, deployment, observability, and operational excellence.
Key Responsibilities-
Manage and support Azure cloud infrastructure and hybrid environments.
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Perform day-to-day systems administration across Linux and Windows environments.
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Design, implement, and maintain Infrastructure as Code (IaC) using Terraform, Bicep, or Ansible.
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Support Kubernetes/containerized workloads and cloud-native applications.
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Build and maintain CI/CD pipelines for automated deployments and infrastructure provisioning.
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Automate operational tasks including patching, monitoring, deployments, and server configurations using Shell/Python scripting.
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Support platform engineering initiatives with focus on scalability, automation, and operational efficiency.
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Collaborate with Infrastructure, Security, Networking, and Application teams to support end-to-end platform lifecycle management.
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Participate in cloud migrations, VM migrations, decommission activities, and modernization initiatives.
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Monitor infrastructure health, troubleshoot production issues, and perform root cause analysis.
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Ensure operational readiness, documentation, observability, and compliance standards are maintained.
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Support infrastructure provisioning and deployment activities across lower and higher environments.
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Contribute to improving operational maturity through automation and process optimization.
Required Skills & Experience-
Cloud & Infrastructure
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Strong hands-on experience with Microsoft Azure.
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Experience managing hybrid cloud and on-prem infrastructure environments.
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Good understanding of virtualization technologies including VMware.
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Experience with storage, networking, and server infrastructure concepts.
Operating Systems-
Strong Linux administration experience.
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Good understanding of Windows Server administration.
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Knowledge of OS-level troubleshooting, services, cron jobs, scheduled tasks, permissions, sudo privileges, system performance tuning, and patching.
Hands-on experience:
- Terraform Bicep
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Ansible
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Shell scripting
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Python scripting
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Understanding implementing Infrastructure as Code (IaC).
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Understanding with CI/CD tools and DevOps practices.
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Containers & Kubernetes
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Container orchestration
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Understanding of cloud-native architectures and microservices.
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Monitoring & Operations
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Experience with observability, monitoring, and alerting tools.
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Strong troubleshooting and incident management skills.
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Ability to support production systems and perform operational automation.
Preferred Qualifications-
Azure Administrator / Azure DevOps / Kubernetes certifications preferred.
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Experience in Platform Engineering or Site Reliability Engineering (SRE) environments.
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Experience supporting AI/Cloud-native application platforms.
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Familiarity with Agile and DevOps operating models.
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Exposure to enterprise infrastructure transformation projects.
Soft Skills-
Strong communication and collaboration skills.
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Ability to work independently in fast-paced environments.
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Strong analytical and problem-solving abilities.
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Ability to quickly learn and adapt to new technologies.
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Ownership mindset with focus on operational excellence and automation.
Key Expectations-
Candidate should possess practical production experience, not just training/certification knowledge.
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Strong preference for engineers with hands-on automation and cloud operations experience.
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Ability to support future-state platform engineering initiatives and cloud transformation programs.
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Focus on reducing manual operational effort through automation and standardization.
