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AWS Infrastructure Engineer (Senior) | Columbus, Ohio, United States AWS Infrastructure Engineer (Senior) Location: Columbus, OH (Remote flexibility) | Job Type: Contract to Hire About the Role: Join a dynamic Platform team as a Senior AWS Infrastructure Engineer, where you will architect, develop, and support robust AWS environments that enable cutting-edge Data Science, AI/ML, and Data Lake initiatives. You will be the technical owner of critical cloud infrastructure, ensuring scalability, security, and operational excellence for a rapidly growing team of Data Scientists and engineers. This role offers the opportunity to make a tangible impact on key business outcomes and advance your career through hands-on work with the latest cloud and DevOps technologies. Responsibilities: - Architect, deploy, and manage large-scale AWS environments tailored for Data Science and AI/ML workloads. - Support and optimize Data Science infrastructure operations, guaranteeing high availability and performance. - Implement Infrastructure as Code (IaC) solutions using Terraform for streamlined environment provisioning and lifecycle management. - Develop automation scripts and applications in Python to enhance operational efficiency. - Manage, monitor, and support Kubernetes clusters, including production support and troubleshooting. - Oversee image management lifecycle processes and security guard rails, ensuring compliance and minimizing vulnerabilities. - Manage AWS accounts, data storage solutions (EC2, S3, Lambda, Glue), and database services (Athena, Oracle, MySQL, Postgres). - Lead system upgrades, patching, and conduct root cause analysis for incidents. - Collaborate with cross-functional teams in Network, Database, Infrastructure, and Architecture to deliver integrated solutions. - Provide technical documentation, knowledge transfer, and training to internal teams. - Respond to user requests and resolve infrastructure-related roadblocks within established SLAs. Required Skills and Experience: - 5+ years of hands-on experience in Data Science infrastructure and AWS environment management. - Expertise with AWS services: Lambda, EC2, S3, Glue, SageMaker, Athena. - Advanced skills in Kubernetes cluster management and production support. - Strong proficiency in Terraform (IaC), Azure DevOps (CI/CD), Docker, and ECR. - Experience with database technologies: Athena, Oracle, MySQL, Postgres. - Proficient in Python programming and automation scripting. - Skilled in applying security tools and processes (AQUA, Kenna). - Track record of technical documentation and knowledge sharing. - Bachelor's degree in Computer Science or related field. Preferred Skills: - AWS Certified, Terraform Certified, Kubernetes or CKA Certified. - Experience in technical service management and product life cycle maintenance. - Advanced shell scripting capabilities. Benefits: - Opportunity to become a key technical owner within a high-impact, growth-focused team. - Exposure to the latest cloud, AI/ML, and DevOps technologies. - Collaborative, innovative work environment with cross-functional leadership opportunities. - Potential for contract-to-hire transition and long-term career development. - Flexible work arrangements (remote options available). How to Apply: Ready to shape the future of Data Science infrastructure? Submit your resume and a brief cover letter highlighting your AWS, Kubernetes, and Terraform experience to our application portal. Candidates must be authorized to work in the US without sponsorship. Background check and drug screen required.