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 [email protected].
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.