Vacancy description
Recruitment Room
$156k USD - $228800 USD / hour
India
Cloud / DevOps Engineer (Infrastructure & IaC) in United States of America, India is listed on Jobeax. Browse 30,000+ vacancies available.
Full-Time | Remote | United States | $156,000–$228,800 annualized ($75–$110/hour)
Join a cutting-edge GenAI team and help build the cloud infrastructure that supports the development of advanced AI models.
We’re looking for experienced Cloud and DevOps Engineers with strong, hands-on expertise in Kubernetes, AWS, Infrastructure-as-Code, and CI/CD . You’ll apply your production experience to create, evaluate, and improve technical tasks and solutions related to AI training and inference infrastructure.
This is a full-time, 40-hour-per-week opportunity for engineers who enjoy solving complex infrastructure problems and communicating technical concepts clearly.
Support research and engineering teams by identifying knowledge gaps across cloud infrastructure, Kubernetes operations, and Infrastructure-as-Code.
Design challenging, domain-specific technical tasks covering Kubernetes troubleshooting, AWS service integration, and infrastructure automation.
Develop accurate, well-structured solutions to complex infrastructure engineering problems.
Evaluate technical tasks and proposed solutions for correctness, reliability, and engineering quality.
Create detailed guidelines, evaluation frameworks, and rubrics for assessing Kubernetes failure diagnosis, IaC design, and CI/CD reasoning.
Collaborate with other infrastructure subject matter experts to maintain consistency, technical accuracy, and quality across training data.
Apply your production engineering experience to help improve AI systems' understanding of real-world cloud and DevOps environments.
4+ years of professional experience in cloud infrastructure, DevOps, site reliability engineering, platform engineering, or a closely related field.
Strong hands-on production experience operating Kubernetes , including diagnosing and resolving cluster failures.
Experience troubleshooting Kubernetes environments beyond simply authoring manifests or working exclusively with managed control planes.
Production experience with Infrastructure-as-Code , particularly Terraform and/or AWS CDK .
Hands-on production experience integrating AWS services, including:
AWS Lambda
API Gateway
DynamoDB
Experience building, maintaining, and owning CI/CD pipelines .
Demonstrable career progression and increasing technical responsibility.
Strong written communication skills and the ability to explain complex technical decisions clearly.
Availability to work 40 hours per week during weekdays .
Compensation: $75–$110/hour
Annualized Compensation: $156,000–$228,800
Employment: Full-time W-2
Location: United States
Work Arrangement: Fully remote
Schedule: 40 hours per week, weekdays
Opportunity: Long-term potential depending on project requirements
Annualized compensation is based on 2,080 hours per year and does not represent a guaranteed annual salary.
Work at the intersection of cloud engineering, DevOps, and generative AI .
Apply your production infrastructure expertise to advanced AI development.
Tackle challenging Kubernetes, AWS, IaC, and automation problems.
Help shape high-quality technical training and evaluation data.
Collaborate with experienced engineers and technical subject matter experts.
Make a direct contribution to improving the capabilities of next-generation AI systems.
All qualified applicants will be considered without regard to legally protected characteristics. Reasonable accommodations are available upon request.
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