DevOps Engineer – AWS

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

We are hiring an AWS Cloud Engineer to design, provision, optimize, and support the AWS infrastructure powering our AMD GPU AI/HPC platform. This is a hands-on execution role — you’ll work closely with Rust backend engineers, TypeScript developers, SREs, and platform teams to keep cloud infrastructure reliable, cost-efficient, and scalable. The goal is simple: reduce cloud bottlenecks and give our engineering teams a solid foundation to build on.

What You’ll Do

• Own the full lifecycle of AWS infrastructure across dev, staging, production, and customer-facing environments — provisioning, scaling, monitoring, security, cost optimization, and decommissioning

• Build and maintain Infrastructure-as-Code (Terraform, Pulumi, AWS CDK, CloudFormation)

• Implement cloud patterns for high availability, auto-scaling, secure service communication, and customer environment provisioning

• Build and maintain CI/CD workflows for cloud infrastructure and hosted services

• Improve observability through metrics, logging, alerting, dashboards, and runbooks

• Troubleshoot AWS networking, compute, storage, IAM, and deployment issues

• Participate in incident response, post-incident reviews, and root cause analysis

• Document architecture, operational processes, and best practices

Who You Are

Required Qualifications

• 5+ years in cloud infrastructure, DevOps, SRE, or platform operations

• Hands-on AWS experience: VPCs, EC2, S3, IAM, CloudWatch, Route 53, load balancers, security groups, private networking

• Proficiency with IaC tooling (Terraform strongly preferred)

• Strong Linux fundamentals — networking, process management, storage, troubleshooting

• Experience with CI/CD, Git-based workflows, and monitoring/alerting platforms

• Clear communicator who can document infrastructure and collaborate across engineering teams

Preferred Qualifications

• Experience with AI/ML, GPU, or HPC workloads

• Kubernetes on AWS (EKS or self-managed)

• Observability platforms: Prometheus, Grafana, Loki, OpenTelemetry, Datadog

• AWS cost optimization: right-sizing, savings plans, lifecycle policies, tagging

• Startup or high-growth infrastructure environment background

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 the 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.