Public summary
A leading technology company is seeking a Senior AI Infrastructure & Platform Operations Engineer to join their European team remotely. The role focuses on operating and optimizing large-scale AI infrastructure environments that include NVIDIA GPUs, Kubernetes, high-performance networking, and advanced platform technologies. The position combines hands-on technical operations with leadership responsibilities to drive service reliability, incident resolution, automation, and operational best practices. Candidates should have extensive experience in infrastructure and platform operations, Linux, Kubernetes, and networking, with a strong track record in managing complex production systems and technical leadership. This role offers the opportunity to work with cutting-edge AI infrastructure and influence next-generation operational services.
Location and work setup
- Location
- Berlin
- Remote status
- Remote
- German requirement signal
- No German Required Detected
- Detected job language
- English
Salary
USD 90000.00 - 105000.00 year
Responsibilities
Lead investigation and resolution of complex incidents in infrastructure, networking, and platform operations. Act as senior escalation point during critical service events. Support large-scale NVIDIA GPU and high-performance networking environments. Troubleshoot Linux, Kubernetes, storage, and hardware issues. Analyze platform performance and reliability trends to identify risks. Conduct root cause analyses and implement corrective actions. Collaborate with engineering teams, vendors, and datacenters. Participate in major incident management and service restoration. Provide technical leadership in Kubernetes platform operations and related infrastructure services. Drive improvements in reliability, monitoring, and operational processes. Identify and automate repetitive tasks to improve efficiency. Contribute to infrastructure upgrades and service introductions. Support AI-powered operational services integration. Mentor and support junior engineers. Develop and maintain operational standards, documentation, and best practices. Define operational processes, escalation paths, and service reliability standards. Act as technical advisor in operational planning and service improvements.
Qualifications
7+ years experience in infrastructure or platform operations, site reliability engineering, network or cloud operations. Expert Linux administration and troubleshooting skills. Strong networking expertise with experience in diagnosing complex performance and reliability issues. Extensive Kubernetes production experience. Proven ability in managing large-scale production infrastructure and distributed systems. Experience leading technical investigations, incident management, and root cause analysis. Understanding of observability, monitoring, and service reliability best practices. Excellent troubleshooting and analytical skills across multiple infrastructure domains. Strong communication, collaboration, and stakeholder management skills. Desirable to have experience with NVIDIA GPU infrastructure, InfiniBand networking, AI infrastructure, HPC environments, platform engineering or SRE, infrastructure automation, observability platforms like Grafana or Prometheus, performance optimization, and technical leadership or mentoring.