System Engineer - ( L3 End-to-End support expert)

AI overview

Manage and support cloud-based and on-premises infrastructure, focusing on Kubernetes application support and SLA compliance for enterprise-scale AMI projects.

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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?

Role Summary:


Level 3 Support end to end provides expert-level technical and manufacturer support, responsible for resolving complex, critical issues and supporting backend, cloud, and infrastructure operations across platforms.

Key Responsibilities
  • Perform deep root cause analysis for complex technical issues.
  • Develop, test, and deliver fixes, patches, hotfixes, and upgrades.
  • Handle security, performance, scalability, and reliability issues.
  • Support major incidents, outages, and critical escalations within SLAs.
  • Maintain product documentation, SOPs, and knowledge base.
  • Support platform evolution, enhancements, and release activities.
Technical Support & Operations (L3 end to end)
  • Provide L3 end to end support for application backend and cloud-related issues.
  • Analyze, debug, and resolve client-reported issues within defined SLAs.
  • Handle customer issues through calls and end-to-end incident workflows.
  • Monitor system performance and proactively identify potential risks.
  • Implement preventive measures and performance optimizations.
  • Develop scripts to support operational tasks and automation needs.
Typical Technical Tasks
  • Perform code-level analysis and debugging.
  • Conduct advanced system, OS, and network troubleshooting.
  • Deploy security patches and emergency hotfixes.
  • Resolve High Availability (HA) and Disaster Recovery (DR) issues.
  • Coordinate with development teams and OEMs when required.
Project Deployment & Implementation
  • Design and plan network and application architectures.
  • Prepare cloud environments and deploy HA and DC-DR setups.
  • Deploy, manage, and support Kubernetes clusters and applications.
  • Manage Advanced Metering Infrastructure (AMI) project deployments.
  • Automate server-side deployment and operational processes.
  • Ensure timely issue resolution 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 and cost.
  • Manage cloud access, permissions, and RBAC policies.
  • Create and manage cloud and network resources as per project needs.
  • Maintain on-premises server and network infrastructure.
  • Support UAT, staging, and production 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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