Infrastructure Engineer – DevOps, Kubernetes & Automation

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 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.

DevOps & CI/CD Support

• 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 DevOps and infrastructure teams.

Linux Systems Operations

• 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.

Documentation & Operational Process

• 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 environments.

• Familiarity with Python or Go for operational tooling.

• Experience working in production infrastructure environments with change control or staged rollout practices.

What We Offer

• Stock Options

• 100% paid Medical, Dental, and Vision insurance for Employees

• Company Health Savings Account Contributions

• 100% paid Short Term and Long Term Disability Insurance for Employees

• Life and Voluntary Supplemental Insurance Options

• Other Insurance Options, such as Pet & Legal Insurance

• Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support

• Flexible Spending Account

• 401(k)

• Employee Assistance Program

• Flexible PTO

• Paid Holidays

• Parental Leave

• Other In-Office Perks

Equal Employment Opportunity

TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.

Reasonable Accommodations

TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.

Employment Eligibility

All offers of employment are contingent upon verification of identity and authorization to work in United States, as required by law.

Background Checks

Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.

Data Privacy Notice

By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.