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

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?

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