# System Engineer - ( L3 End-to-End support expert) at Cuculus Gmbh

> India · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/personio%3Acuculus-gmbh%3A2513345 (read 2026-11-09).

## Facts (observed)

- Company: [Cuculus Gmbh](https://alderhq.app/companies/cuculus-gmbh)
- Location text: Bengaluru; India
- Where it can be done from (inferred): India (evidence: "Location lists "bengaluru"")
- Posted: 2026-01-30 (283 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://cuculus-gmbh.jobs.personio.de/job/2513345
- Skills listed (inferred): Python, Elasticsearch, AWS, Azure, Kubernetes, Docker, Terraform

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Bengaluru, n 5): p25 ₹22.5L, median ₹25L, p75 ₹29.2L

## Description (the employer's text)

### Shape the utilities market of the future with us!

The System Engineer – L3 End-to-End Support Expert is a senior technical role responsible for supporting complex enterprise production environments across applications, Linux, Kubernetes, cloud, infrastructure, networking, integrations and monitoring.

The role combines expert-level L3 production Support, proactive system reliability, cloud/infrastructure operations and deployment capabilities for enterprise-scale AMI and utility solutions.

The engineer operates as part of our global 24/7/365 Follow-the-Sun Support organization and takes end-to-end technical ownership of complex incidents and customer escalations.

ZONOS and customer-specific knowledge is not required at recruitment and will be acquired through structured transition, knowledge transfer and hands-on experience.

### What is the role about?

### Role Summary

Level 3 End-to-End Support provides expert-level technical Support for complex and critical production issues across the complete solution stack.

The role is responsible for:

· Complex end-to-end troubleshooting and root-cause analysis

· Production reliability and availability

· Application and backend Support

· Linux and operating-system troubleshooting

· Kubernetes

· Cloud and infrastructure

· Networking

· Monitoring and observability

· Automation

· HA and disaster recovery

· Security and performance

· Technical customer communication

· SLA-driven incident management

The objective is not only to restore service but to identify the root cause, implement sustainable solutions, prevent recurrence and continuously improve service reliability and supportability.

### We are always looking for support in the following areas:

### Your Mission & Impact

Your mission is to ensure that our customers operate stable, reliable and supportable production environments.

You will take ownership of complex technical issues from initial investigation through resolution and RCA while coordinating with other technical specialists where required.

You will also contribute to the continuous evolution of our Support organization by improving monitoring, automation, documentation, operational readiness and knowledge sharing.

### Your work will directly contribute to

· Higher production stability

· Faster incident resolution

· Improved SLA performance

· Better customer experience

· Earlier identification of operational risks

· Reduced manual operational effort

· Better Support documentation

· Increased automation

· Stronger 24/7 Support capabilities

· Continuous improvement of our products and services

### Your Role at a Glance

L3 End-to-End Support.

· Provide expert-level L3 end-to-end Support for complex application, backend, infrastructure and cloud-related issues.

· Independently analyze, troubleshoot and resolve customer-reported production issues.

· Take technical ownership of incidents from investigation through resolution.

· Perform deep root-cause analysis (RCA) across the complete solution stack.

· Support major incidents, outages and critical customer escalations.

· Ensure issues are handled according to defined SLAs.

· Identify SLA risks early and actively escalate where required.

· Coordinate with Development, DBA, Device Integration, System Engineering and other specialists where deeper expertise is required.

· Participate in customer calls and technical incident sessions.

· Clearly communicate customer impact, findings, recovery status, risks and next actions.

Reliability, Availability & Performance

· Ensure the reliability, availability, performance and operational health of production systems.

· Monitor system health and proactively identify potential risks.

· Analyze performance bottlenecks and resource constraints.

· Implement preventive measures and performance optimizations.

· Contribute to scalability and resilience improvements.

· Support capacity planning and performance analysis/testing.

· Support operational cost optimization where infrastructure is managed by Cuculus.

· Identify recurring operational issues and drive sustainable corrective actions.

Monitoring & Observability

Build, maintain and continuously improve observability across production environments, including:

· Metrics

· Logs

· Dashboards

· Alerting

· Tracing where applicable

· Service/process monitoring

· System-health monitoring

· Performance monitoring

Hands-on experience with MONIT, Grafana and Prometheus, or equivalent technologies such as:

· Zabbix

· Nagios/Icinga

· ELK / Elastic Stack

· OpenSearch

· Loki

The engineer should use monitoring proactively rather than relying solely on customer-reported incidents.

Troubleshooting & Root-Cause Analysis

Perform advanced troubleshooting across:

· Enterprise applications

· Linux/OS

· Kubernetes

· Cloud

· Infrastructure

· Networking

· Databases and DB connectivity

· Monitoring

· Integrations

· Application dependencies

Use logs, metrics, configuration and dependency analysis to distinguish between symptoms and underlying root causes.

Perform application-level analysis and work together with Development for deeper code-level investigation where required.

Automation

Develop scripts and automation using technologies such as:

· Shell/Bash

· Python

· Infrastructure/deployment automation tools

Automate:

· Operational tasks

· Deployments

· Monitoring

· Health checks

· Diagnostics

· Data collection

· Repetitive Support activities

· Infrastructure provisioning where applicable

The objective is to reduce operational toil, improve consistency and minimize manual errors.

Security, Scalability & Resilience

Support and continuously improve:

· System security

· OS hardening

· Security patches

· Hotfixes

· Certificates

· Access controls

· Performance

· Scalability

· Reliability

· High Availability

· Disaster Recovery

Support controlled production changes according to defined operational and change-management processes.

High Availability & Disaster Recovery

Support enterprise HA and DR environments, including:

· HA architectures

· Failover concepts

· Disaster-recovery procedures

· Recovery testing

· Production recovery

· DC/DR environments

Participate in troubleshooting and recovery of HA/DR-related production incidents.

Cloud & Infrastructure Management

Deploy, manage and support cloud and infrastructure environments across:

· AWS

· Azure

· NTT

· Equivalent cloud platforms

· Customer-operated cloud

· On-premises infrastructure

· Hybrid environments

Responsibilities include:

· Compute/VM environments

· Networking

· Storage

· Cloud access and security

· Permissions and RBAC

· Infrastructure monitoring

· Troubleshooting

· Resource utilization

· Cloud resource optimization

· Infrastructure provisioning

· 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, or equivalent relevant professional experience.

· Minimum 5 years relevant IT experience, including at least 3 years in production/application/infrastructure Support.

· Senior/L3 troubleshooting capability.

· Strong Linux administration and troubleshooting skills.

· Strong Kubernetes deployment and troubleshooting experience.

· Hands-on cloud experience with AWS, Azure or equivalent.

· Strong networking fundamentals, including TCP/IP, DNS, routing, connectivity, ports and firewalls.

· Experience with scripting using Shell/Bash, Python or equivalent.

· Strong monitoring and observability experience.

· Understanding of HA, DR and enterprise architectures.

· Enterprise-application troubleshooting experience.

· Experience working in SLA-driven production environments.

· Experience handling critical incidents and escalations.

· Strong analytical and root-cause-analysis skills.

· Strong documentation and knowledge-sharing capabilities.

· Ability to communicate technical topics clearly to customers and internal stakeholders.

· Willingness and capability to participate in 24/7/365 Follow-the-Sun shift rotation.

### Nice-to-haves (great if you have them, but not a dealbreaker)

### Preferred Skills

· Utility-industry experience.

· HES and/or MDM experience.

· Multi-cloud or hybrid-cloud experience.

· Experience with MONIT, Grafana, Prometheus, Zabbix, Nagios/Icinga, ELK, OpenSearch or Loki.

· Experience with Terraform, Ansible, Docker or equivalent automation technologies.

· Jira / Jira Service Management experience.

· Experience with large-scale enterprise infrastructure and production environments.

· Experience with technical customer communication and de-escalation.

· Training or mentoring experience.

### What You Bring to the Team

The L3 End-to-End Support Expert combines:

Technical expertise + E2E ownership + production reliability + proactive monitoring + automation + customer communication + SLA ownership + cross-skilling + knowledge replication + continuous improvement.

The role is not limited to reacting to incidents. It proactively contributes to service reliability, operational readiness, Support quality and the continuous improvement of the global Support organization.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/personio%3Acuculus-gmbh%3A2513345 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.