Site Reliability Engineer
Role Overview
Support and maintain Open Innovation AI products and deployments across customer environments, including secure, isolated on-premises infrastructure.
Troubleshoot issues across hardware, Linux, Kubernetes, middleware, and application layers to restore service availability.
Key Skills for This Role
Full Job Posting
Company overview
Open Innovation AI develops solutions for managing AI workloads; its OICM product orchestrates AI tasks across diverse infrastructure.
The platform is hardware-agnostic and supports GPU and accelerator environments and enterprise AI application integration.
Role overview
Support and maintain Open Innovation AI products and deployments across customer environments, including secure, isolated on-premises infrastructure.
Troubleshoot issues across hardware, Linux, Kubernetes, middleware, and application layers to restore service availability.
Responsibilities
- Support production deployments, often with restricted connectivity or air-gapped environments, and ensure platform availability, upgrades, and stability.
- Diagnose incidents across hardware, Linux, Kubernetes, containers, middleware, and platform components; analyze logs and application output to identify root causes.
- Review and execute approved changes under Change Management, including updates, configuration adjustments, and component upgrades.
- Maintain knowledge of product architecture, services, dependencies, and customer production usage; guide L1 and Service Desk teams with triage.
- Escalate complex code-level or product-defect issues to L3 with structured diagnostic information.
- Conduct on-site health assessments of clusters, services, system resources, and environment readiness.
- Collaborate with Systems Engineering on performance across compute, storage, networking, and Kubernetes and apply identified improvements.
- Maintain SOPs, runbooks, troubleshooting steps, and known-issue guides; contribute to post-incident reviews and prevention recommendations.
- Follow Incident, Change, and Problem Management processes.
Required experience and qualifications
- Bachelor’s degree in computer science, information technology, engineering, or a related field.
- 4–7 years in SRE, DevOps, infrastructure operations, or platform engineering roles in on-premises or secure environments.
- Strong Linux administration skills, including troubleshooting, log analysis, service management, and performance tuning.
- Hands-on Kubernetes, container runtime, and distributed systems experience in on-premises deployments.
- Understanding of enterprise compute, storage, networking, and virtualization layers.
- Practical experience with Kafka, Redis, PostgreSQL, or similar middleware and data-layer technologies.
- Understanding of ITIL-aligned operational frameworks and ability to diagnose complex issues across the stack.
- Secure, restricted, or isolated environment experience is an advantage.
- Strong analytical and communication abilities, methodical troubleshooting, and clear technical documentation skills.
- RHCSA/RHCE or CKA/CKAD/CKS certifications are listed.
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