Infrastructure Engineer – DevOps, Kubernetes & Automation

About Tensor Wave

Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute '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 – Dev Ops, 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, Dev Ops, and infrastructure engineering responsibilities.

What You’ll Do

• 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.

• 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 idempotency, error handling, and safe rollback behavior where applicable.

• Assist with inventory organization, group variables, host variables, and reusable role design.

• Convert manual operational steps into repeatable automation.

• Support Git-based workflows for infrastructure code.

• Assist with CI/CD pipeline improvements for infrastructure automation and deployment processes.

• Help maintain deployment scripts, validation tooling, and operational utilities.

• Contribute to automated testing and validation of infrastructure changes.

• Support internal platform tooling used by the Dev Ops and infrastructure teams.

• Troubleshoot Linux system issues related to services, networking, packages, storage, users, SSH, logs, and systemd.

• Support Ubuntu-based infrastructure systems and GPU node operating environments.

• Assist with baseline configuration, package management, service validation, and host-level remediation.

• Help improve operational runbooks for common Linux and infrastructure support tasks.

• Document deployment procedures, troubleshooting steps, and operational standards.

• Contribute to onboarding material for new engineers.

• Maintain clear change notes and implementation records for infrastructure work.

• Help improve consistency across runbooks, READMEs, and internal engineering documentation.

Who You Are

Required Qualifications

• Linux system administration experience.

• Basic to intermediate Kubernetes experience.

• Practical Ansible experience.

• Git workflow familiarity.

• Understanding of CI/CD concepts.

• Basic networking knowledge including DNS, routing, firewalls, subnets, and load balancing concepts.

• Experience troubleshooting services using logs, systemd, command-line tools, and metrics.

• Ability to read and modify YAML, shell scripts, and infrastructure configuration files.

Preferred Qualifications

• Experience with Ubuntu server environments.

• Experience with RKE2, Rancher, Cilium, or similar Kubernetes platforms.

• Experience with Prometheus, Grafana, Loki, or other observability tools.

• Experience with MAAS, PXE, bare metal provisioning, or data center infrastructure.

• Experience supporting GPU, AI, HPC, or large‑scale compute…