Platform Engineer IV - 3025154

Job#: 3025154Job Description:Title: Platform Eng IVLocation: Cincinnati, OH (Onsite)Length: 9 monthsPay: $74-$83u00a0Job DescriptionPosition OverviewThe 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.Key Responsibilities- 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.Required QualificationsUnderstanding 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- SQSExperience with:- Python development (e.g., Lambda functions, scripting)- Terraform or other infrastructure-as-code tools- CI/CD tools such as Jenkins, GitHub Actions, or similarAdditional 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 teamsPreferred 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 OIDCu00a0u00a0EEO EmployerApex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.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 learnin

Created: 2026-03-16