
System Engineer - ( L3 End-to-End support expert)
Cuculus · Bengaluru · India
- Software & SaaS
- 51–200 employees
- Erfurt, Thüringen
All reasons
- Open 275 days
In its favour
- Still listed on the employer's own board
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.
Must-haves (to thrive in this role)
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
Nice-to-haves (great if you have them, but not a dealbreaker)
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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