ZG
ZEISS GroupSystem Engineer – Cloud & Platform Services
System Engineer managing VDI infrastructure and AWS Cloud solutions for ZEISS corporate IT. troubleshoot user requests and maintain IT systems in operational teams across multiple locations.
About the role
- Deploy, configure, and validate edge computing systems across lab, field, and production environments.
- Integrate and optimize system components spanning embedded hardware, networking, containerization, and cloud APIs.
- Collaborate with software, infrastructure, and field teams to identify and resolve integration and runtime issues.
- Ensure reliable device-to-cloud communication for telemetry, control, and analytics workloads.
- Perform end-to-end triage across hardware, network, and application layers.
- Use Linux CLI tools, container inspection, and telemetry analysis to isolate and correct complex system failures.
- Reproduce field issues in controlled environments and contribute findings back into engineering processes.
- Develop reusable diagnostic tools and test harnesses to validate system resilience.
- Build and maintain monitoring, and recovery automation (e.g., Bash, Python, Go).
- Contribute to orchestration frameworks such as Docker, K3s, or Kubernetes for edge deployments.
- Enhance observability through metrics, dashboards, and alerting (Datadog, Grafana, Prometheus, etc.).
- Identify opportunities for self-healing and reliability automation.
- Author and maintain runbooks, standard operating procedures, and knowledge base articles.
- Document troubleshooting procedures and design patterns to enable Tier 1 and Tier 2 support efficiency.
- Participate in post-incident reviews and translate lessons learned into durable operational improvements.
- Partner with software engineers, DevOps, and operations teams to drive incident resolution.
- Act as a 24x7 escalation SME for complex edge or connectivity issues.
- Leverage escalation learnings to define and drive system reliability and lifecycle management initiatives.
Requirements
- Bachelor’s degree in Computer Engineering, Computer Science, Information Systems, or equivalent work experience
- 3-5 years minimum relevant experience
- Strong proficiency with Linux systems and command-line diagnostics.
- Experience with containerized environments (Docker, K3s, or Kubernetes).
- Understanding of IoT or distributed systems architectures, including secure communication (TLS/mTLS).
- Solid grasp of networking fundamentals: IP, routing, VPNs, DNS, and cellular/LTE connectivity.
- Scripting ability in Bash, Python, or Go for automation and tooling.
- Demonstrated ability to troubleshoot across hardware, network, and software boundaries.
- Excellent written communication skills; comfortable producing procedural documentation.
Benefits
- Adhere to all NOV HSE policies, utilize appropriate PPE, and actively participate in monthly safety meetings.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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