DevOps Engineer - AWS

TensorWave·Remote·9 июня

DevOps Engineer - AWS

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Наша компания

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.

О роли

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

Чем предстоит заниматься

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

Наши требования

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

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

Мы предлагаем

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

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

TensorWave

Remote

ГрейдMiddle

ЗанятостьПолная занятость

РегионНе Россия

ФорматУдалённо

ИсточникСкрыто

Опубликовано9 июня

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