Platform Engineer IV

Job#: 3025154

Job Description:

Title: Platform Eng IV

Location: Cincinnati, OH (Onsite)

Length: 9 months

Pay: $74-$83

Job Description

Position Overview

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.

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 Qualifications

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

EEO Employer

Apex 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. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .

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.

Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.