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

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. 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: - 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: - 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