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Senior AI/ML Platform Engineer

1 month ago

Cleveland, United States The Sherwin-Williams Company Full time

The Senior Platform Engineer role is responsible for designing, building, problem-solving, troubleshooting, and maintaining platforms within the current technology environment. The role involves analyzing complex technical problems, developing appropriate solutions to maintain the overall integrity of the platform, including operating systems, hardware and software infrastructure that are critical to the company's user populace and application environments. They collaborate with other IT professionals such as Application, Architect, and Database Engineers to ensure that all components of the platform are working efficiently, securely, and resiliently. The Platform Engineer uses their extensive knowledge of both traditional and modern platforms to ensure high performance and reliability of the company's infrastructure, including both cloud and on-premises systems, in support of DevOps efforts and general business and IT objectives. Maintain the platform hardware, software, and network requirements in alignment with business needs and organizational standards defined Monitor system performance and troubleshoot issues as they arise to continuously improve platforms in alignment with application goals Manage and configure DevOps tools (such as API Gateway, Teraform) to support processes as per organizational needs Collaborate with DevOps engineering and production team to update, troubleshoot and maintain platforms and environments to bring new features and services into production Identify, prioritize, implement and maintain automated and orchestrated fulfillment mechanisms to optimize delivery of key platform services Coordinate the tasks of other teams that work within the target platform to ensure smooth operations Identify and mitigate security threats to comply with a strict security compliance Develop and implement security and resiliency policies, standards, and procedures to protect the infrastructure and ensure compliance with regulations Produce high-level design documentation where required Conduct technical research regarding user requests for new/modified systems or problem resolution Manage vendor relationships and discussions related to design docs, platform changes, and other modifications, as needed Education Required Bachelor's Degree in Computer Science or a related field. In lieu of a degree, at least 12 years of experience in the role of Platform Engineer or related position Preferred Azure Solutions Architect, Certified Kubernetes Administrator (CKA), or AWS Certified DevOps Engineer preferred Knowledge & Experience 5+ years of experience in platform engineering and infrastructure components Experience in automated interaction with physical infrastructure Experience in managing and maintaining cloud-based environments such as AWS, GCP, or Azure Experience with monitoring and log management tools such as Nagios, Splunk, and ELK Experience in developing and implementing backup and disaster recovery strategies Excellent scripting experience in languages such as Python, PowerShell, and Bash Experience with Infrastructure as Code (IaC) and configuration management tools such as Ansible, Chef, and Terraform Technical Skills Programming Languages Cloud Technologies & Platforms Continuous Integration and Continuous Deployment (CI/CD) DevOps Methodology Software Packaging and Deployment Procedures Operating Systems Network Operations, Configuration, & Services Containerization Monitoring and Logging Integration Technology Preferred Experience in developing and deploying cutting-edge MLOps solutions to support our AI and ML applications. Analyze and troubleshoot MLOps solutions and any related issues Experience remaining up-to-date on the latest AI/ML technologies and trends Experience with Dataiku or other AI platforms. This position is not