Infrastructure Operations Engineer

Job Overview

Our mission at Tensorwave Cloud is to build seamless, secure, reliable, and resilient AI infrastructure at scale, eliminating barriers and challenging the status quo to empower builders and support AI innovation.

About the role

We are seeking a Infrastructure Operations Engineer to join our growing infrastructure team. This role is ideal for someone who thrives in hardware-centric environments, enjoys hands-on datacenter and system administration work, and can build reliable automation around large-scale infrastructure. You will be responsible for managing enterprise hardware, monitoring systems, network operations, infrastructure automation, and supporting our compute clusters across multiple data centers. This role touches every layer of modern infrastructure - from bare metal provisioning, to OS and Kubernetes management, to monitoring and troubleshooting hardware.

If you are detail-oriented, resourceful, and comfortable working with both low-level hardware systems and higher-level DevOps tooling, we’d love to talk.

Key Responsibilities

• Manage and maintain enterprise-grade server hardware including diagnostics and break/fix for CPUs, memory, disks, PSUs, and NICs


• Operate out-of-band management systems for remote access and recovery - iLO, iDRAC, IPMI, Redfish


• Design, build, and maintain infrastructure monitoring and alerting - Prometheus, Grafana, SNMP, or similar


• Administer and troubleshoot Linux systems - OS install, boot issues, services, networking, filesystems, and access controls


• Own bare-metal provisioning workflows - PXE/UEFI boot and automated node bring-up using MAAS, Foreman, or equivalents


• Build and maintain infrastructure automation - shell scripting and CLI tooling to improve reliability and scale operations


• Manage core networking - subnets, IP address management, VLANs, routing, NAT, and firewall configuration


• Configure and support secure connectivity such as VPNs - IPsec, WireGuard, OpenVPN


• Support Kubernetes clusters at the infrastructure layer - node lifecycle, access, basic troubleshooting, and scaling


• Partner with internal teams to ensure compute clusters remain reliable, secure, and scalable across multiple data centers

Required Qualifications

• Bachelor of Science in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience


• Proven experience managing enterprise-grade hardware at scale


• Expertise with automation languages such as Python, Go, PHP, or Perl


• Strong understanding of out-of-band management systems - IPMI, BMC, Redfish


• Hands-on expertise with monitoring systems - Prometheus, Grafana, SNMP, Nagios, CheckMK, or similar


• Solid knowledge of network administration - firewalls, routing, VPNs, NAT, and managed switches


• Linux system administration experience - installation, configuration, troubleshooting


• Experience with filesystems - RAID, partitioning, and general storage management.


• Familiarity with certificate management - key-based auth, and cryptographic functions.


• Experience with bare metal provisioning - MAAS, Foreman, or similar


• Understanding of PXE/UEFI/HTTP boot systems


• Ability to write functional, maintainable bash scripts for automation

Nice to Have

• Experience with Kubernetes - operators, cluster scaling, CRDs


• Experience with Helm chart customization


• Exposure to high-availability or distributed compute environments


• Knowledge of infrastructure security and hardening practices

Benefits

Mission driven company
Competitive Salary
Stock Options
100% paid Medical, Dental, and Vision insurance
Flexible PTO
Paid Holidays
401(k)
Parental Leave
Flexible Spending Account
Short Term Disability Insurance
Life and Voluntary Supplemental Insurance
Mental Health Benefits through Spring Health