Cloud / DevOps Engineer

Netrolynx AI; United States; On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Retirement savings

Paid time off

Continuous learning and development

Job summary

Mercor's AI research and development team seeks a Cloud and DevOps Engineer to build and maintain the infrastructure that supports large-scale AI models. You will optimize cloud systems, operate Kubernetes clusters, and automate infrastructure using Terraform and AWS CDK, enabling reliable training and deployment of state-of-the-art language models.

You will work closely with researchers and engineers to ensure scalable, secure, and observable infrastructure while contributing to the AI

Qualifications

• 4+ years in cloud infrastructure, DevOps, or platform engineering.
• Hands-on Kubernetes cluster operations for high availability.
• Experience with IaC—Terraform or AWS CDK—and AWS services.

Responsibilities

• Collaborate with research and engineering teams to improve AI model deployment in cloud and Kubernetes.
• Design tasks for cluster diagnosis, cloud service integration, and automation.
• Review infra engineering tasks and provide detailed feedback.
• Develop guidelines and rubrics to assess cluster diagnostics and CI/CD quality.
• Work with experts to ensure quality in training data and infrastructure processes.

Skills

Cloud infrastructure

Site reliability engineering

Platform engineering

Written communication

40-hour workweek commitment

Tools

Kubernetes

Terraform

AWS CDK

AWS Lambda

API Gateway

DynamoDB

CI/CD pipelines

Job description

About The Company

Mercor is a pioneering technology company dedicated to advancing artificial intelligence and machine learning solutions. With a focus on innovation and excellence, Mercor develops cutting-edge AI models and infrastructure that empower organizations across various industries. Committed to pushing the boundaries of what is possible with AI, the company invests heavily in research and development, fostering a collaborative environment where talented professionals can thrive. Mercor's mission is to create scalable, efficient, and impactful AI systems that drive digital transformation and deliver measurable value to its clients worldwide.

About The Company

Mercor is a pioneering technology company dedicated to advancing artificial intelligence and machine learning solutions. With a focus on innovation and excellence, Mercor develops cutting-edge AI models and infrastructure that empower organizations across various industries. Committed to pushing the boundaries of what is possible with AI, the company invests heavily in research and development, fostering a collaborative environment where talented professionals can thrive. Mercor's mission is to create scalable, efficient, and impactful AI systems that drive digital transformation and deliver measurable value to its clients worldwide.

About The Role

Join Mercor's renowned AI research and development team as a Cloud and DevOps Engineer. In this role, you will be instrumental in building and maintaining the foundational infrastructure that supports the development, training, and deployment of large-scale AI models. You will work closely with research scientists, engineers, and other technical experts to optimize cloud-based systems, enhance Kubernetes operations, and automate infrastructure processes. This position offers a unique opportunity to be at the forefront of the AI revolution, contributing to the development of state-of-the-art Large Language Models that have the potential to transform industries globally.

Qualifications

The ideal candidate will possess over four years of professional experience in cloud infrastructure, DevOps, site reliability engineering, or platform engineering within top-tier organizations. You should have extensive hands-on experience operating Kubernetes clusters, diagnosing and resolving cluster failures, and ensuring high availability and performance. Proficiency with Infrastructure-as-Code tools such as Terraform and AWS CDK is essential, alongside practical experience integrating various AWS services like Lambda, API Gateway, and DynamoDB in production environments. Demonstrated success in building and managing CI/CD pipelines, along with a proven career progression, is highly valued. Strong written communication skills are necessary to articulate complex technical concepts clearly and effectively. The ability to commit reliably to a 40-hour workweek during weekdays is also required.

Responsibilities

• Collaborate with research and engineering teams to identify knowledge gaps and develop solutions to improve AI model performance within cloud infrastructure and Kubernetes environments.
• Design complex, domain-specific tasks related to cluster diagnosis, cloud service integration, and infrastructure automation, ensuring accuracy and clarity in documentation and solutions.
• Evaluate and review infrastructure engineering tasks, providing detailed technical feedback to enhance system robustness and efficiency.
• Develop comprehensive guidelines, evaluation frameworks, and rubrics to assess cluster failure diagnostics, Infrastructure-as-Code design quality, and CI/CD pipeline effectiveness.
• Work closely with subject matter experts to ensure consistency, accuracy, and quality in training data and infrastructure processes, supporting the overall AI development lifecycle.

Benefits

Mercor offers a competitive benefits package designed to support your professional growth and personal well-being. This includes comprehensive health insurance plans, retirement savings options, paid time off, and opportunities for continuous learning and development. The company fosters a collaborative and innovative work environment, encouraging knowledge sharing and professional advancement. Additionally, you will have the chance to work on impactful projects that are shaping the future of AI technology, with access to cutting-edge tools and resources to support your success.

Equal Opportunity

Mercor is an equal employment opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, veteran status, disability, genetic information, political beliefs, or any other protected characteristic. We believe that a diverse team fosters innovation and drives our mission forward.