System Engineer

AI overview

Manage and support cloud and on-premises infrastructure for enterprise-scale AMI projects with a focus on Kubernetes application support and SLA compliance.

Shape the utilities market of the future with us!

The System Engineer will be responsible for managing, deploying, and supporting cloud-based and on-premises infrastructure. This role involves Kubernetes-based application support, cloud environment management, project deployments (including HA & DR setups), and ensuring SLA compliance for enterprise-scale AMI projects.

What is the role about?

Key Responsibilities :


Technical Support & Operations

  • Provide L2/L3 technical support for application backend and cloud-related issues

  • Troubleshoot Kubernetes cluster-based application backends

  • Analyze, debug, and resolve client-reported issues within defined SLAs

  • Handle client queries and issues through calls and end-to-end incident workflows

  • Monitor system performance and proactively identify and mitigate potential issues

  • Implement preventive measures and performance optimizations

  • Develop scripts to meet operational and automation requirements

Project Deployment & Implementation

  • Design and plan project network architecture and application architecture

  • Prepare cloud environments and deploy applications with High Availability (HA) and DC-DR setups

  • Deploy and manage Kubernetes clusters and related applications

  • Manage deployment of Advanced Metering Infrastructure (AMI) projects, including monitoring and reporting systems

  • Automate server-side operations using scripts

  • Ensure timely resolution of project issues to avoid SLA breaches

Cloud & Infrastructure Management

  • Deploy, manage, and maintain VM-based cloud environments (AWS, Azure, Tata, NTT, or equivalent)

  • Monitor and optimize cloud resource usage

  • Manage cloud user access, permissions, and RBAC policies

  • Create and manage cloud resources as per project requirements

  • Design and deploy cloud networking environments

  • Maintain on-premises server infrastructure and network environments

  • Support UAT and staging environments

Required skills and qualifications

Required skills and Qualifications:

  • Bachelor’s degree in Computer Science, Information Technology, or related field

  • Strong experience with Kubernetes cluster deployment and troubleshooting

  • Hands-on experience with cloud platforms (AWS, Azure, or equivalent)

  • Knowledge of Linux system administration and networking fundamentals

  • Experience with scripting (Shell, Python, or similar)

  • Understanding of HA, DR, and enterprise deployment architectures

  • Familiarity with SLA-driven support environments

Preferred skills and qualifications

Preferred Skills:

  • Experience with AMI (Advanced Metering Infrastructure) systems

  • Exposure to multi-cloud or hybrid cloud environments

  • Knowledge of monitoring and logging tools

  • Experience working in utility or large-scale infrastructure projects

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