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