TensorWave
Engineering
InfrastructureEngineer–DevOps,Kubernetes&Automation
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Infrastructure Engineer – DevOps, Kubernetes & Automation at TensorWave. Skills: Kubernetes, DevOps, Infrastructure engineering, Automation. Assist with Kubernetes deployment. Maintain Kubernetes clusters”
Industry & Context.
Troubleshooting; Root cause analysis
What They're Looking For.
Must Have
Linux system administration experience, Basic to intermediate Kubernetes experience, Practical Ansible experience, Git workflow familiarity, Understanding of CI/CD concepts, Basic networking knowledge, Experience troubleshooting services, Ability to read and modify YAML, Ability to read and modify shell scripts, Ability to read and modify infrastructure configuration files
Nice to Have
Experience with Ubuntu server environments, Experience with RKE2, Rancher, Cilium, Experience with Prometheus, Grafana, Loki, Experience with MAAS, PXE, bare metal provisioning, Experience supporting GPU, AI, HPC environments, Familiarity with Python for operational tooling, Familiarity with Go for operational tooling, Experience with change control, Experience with staged rollout practices
What You'll Do.
Assist with Kubernetes deployment
Maintain Kubernetes clusters
Troubleshoot Kubernetes clusters
Support cluster lifecycle activities
Investigate Kubernetes issues
Improve Kubernetes deployment patterns
Support platform services on Kubernetes
Maintain Ansible roles
Standardize infrastructure automation
Execute Ansible deployments
Validate Ansible idempotency
Validate Ansible error handling
Validate Ansible rollback behavior
Assist with inventory organization
Assist with group variables
Assist with host variables
Assist with reusable role design
Convert manual steps to automation
Support Git-based workflows
Assist with CI/CD pipeline improvements
Maintain deployment scripts
Maintain validation tooling
Maintain operational utilities
Contribute to automated testing
Contribute to validation of infrastructure changes
Support internal platform tooling
Troubleshoot Linux system issues
Support Ubuntu-based systems
Support GPU node environments
Assist with baseline configuration
Assist with package management
Assist with service validation
Assist with host-level remediation
Improve operational runbooks
Document deployment procedures
Document troubleshooting steps
Document operational standards
Contribute to onboarding material
Maintain change notes
Maintain implementation records
Improve consistency across runbooks
Improve consistency across READMEs
Improve consistency across documentation
How You'll Work.
Team & Collaboration
Cross-functional teams; Infrastructure team
Full Job Description
About TensorWave Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure. About the Role The Infrastructure Engineer – DevOps, Kubernetes & Automation will support the infrastructure team by helping deploy, maintain, troubleshoot, and improve internal infrastructure automation and Kubernetes platform operations. This role will work across Ansible, Kubernetes, Linux systems, Git-based workflows, CI/CD tooling, and internal platform services. The engineer will help convert manual operational work into repeatable automation, assist with production deployments, validate infrastructure changes, and contribute to the operational health of the environment. This is a hands-on technical role. The ideal candidate has strong Linux fundamentals, practical automation experience, and a desire to grow into deeper Kubernetes, DevOps, and infrastructure engineering responsibilities. What You’ll Do KUBERNETES OPERATIONS - Assist with the deployment, maintenance, and troubleshooting of Kubernetes clusters. - Support cluster lifecycle activities including node maintenance, configuration updates, upgrades, and validation. - Help investigate Kubernetes issues related to pods, services, networking, storage, ingress, certificates, and node health. - Work with senior engineers to improve Kubernetes deployment patterns, operational runbooks, and standard configurations. - Support platform services that run on Kubernetes where owned by the infrastructure team. ANSIBLE & INFRASTRUCTURE AUTOMATION - Write, update, and maintain Ansible roles and playbooks. - Help standardize infrastructure automation across sites, clusters, and environments. - Execute controlled Ansible deployments using approved rollout patterns. - Validate
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