Platform Engineer

The Platform Engineer will support and enhance an AWS-based machine learning platform, with a primary focus on Amazon SageMaker. This role is responsible for maintaining and improving cloud infrastructure that enables data scientists and machine learning engineers to build, train, and deploy models efficiently and securely. The ideal candidate brings foundational cloud and infrastructure-as-code experience, strong troubleshooting abilities, and an interest in supporting machine learning workloads., * Contribute to the development, maintenance, and enhancement of AWS infrastructure supporting Amazon SageMaker and related machine learning services.

• Develop and maintain Infrastructure as Code (IaC) using Terraform to provision, manage, and version cloud resources.
• Assist in building and maintaining CI/CD pipelines and automation for infrastructure and ML workflows.
• Support the design, implementation, and maintenance of core platform components following cloud architecture and security best practices.
• Monitor platform reliability, performance, and cost efficiency, and assist in troubleshooting infrastructure and deployment issues.
• Collaborate with data scientists and ML engineers to understand platform requirements and improve user experience.
• Participate in the creation of documentation, operational runbooks, and knowledge-sharing materials.

Understanding of core AWS components and services, including:

• Networking: subnets, routing, DNS, security groups
• Security: IAM roles and policies, encryption, secrets management, least-privilege access models
• EC2/ECS
• S3
• Lambda
• SQS

Experience with:

• Python development (e.g., Lambda functions, scripting)
• Terraform or other infrastructure-as-code tools
• CI/CD tools such as Jenkins, GitHub Actions, or similar

Additional requirements:

• Exposure to Linux-based environments and shell scripting
• Strong problem-solving skills and a willingness to learn new technologies
• Ability to collaborate effectively with cross-functional teams

Preferred Qualifications

• Exposure to Amazon SageMaker or other machine learning platform tools
• Basic understanding of machine learning workflows (training, inference, data pipelines, model lifecycle) and execution patterns (batch, real-time)
• Familiarity with containerization and orchestration technologies such as Docker or Kubernetes
• Experience developing applications integrated with OIDC

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click for more details., "OH", "postalCode": "45201", "addressCountry": "US"}}, "employmentType": "FULL_TIME", "baseSalary": {"@type": "MonetaryAmount", "currency": "USD", "value": "Compensation information provided in the