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Lead System Engineer
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- Posted 10 hours ago
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Job Description
Job Description
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.
- 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.
- 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.
- 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.
- 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.
- 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.
More Info
Key Skills
CI/CD tools
DevOps practices
Container orchestration
Cloud-native architectures
Azure cloud infrastructure
Infrastructure as Code (IaC)
Bicep
Server infrastructure concepts
Observability monitoring and alerting tools

