Penske Automotive Group - Reading, PA
posted 2 months ago
Catalyst AI is an industry-first platform that empowers customers to compare, diagnose, and manage their fleets using advanced data science and Penske's extensive business knowledge. This innovative technology enables customers to obtain apples-to-apples comparisons rather than relying on static, aggregated industry benchmarks. Penske is pioneering this solution by leveraging AI and machine learning, robust fleet data, and a unique perspective on maintenance. The technology not only streamlines the fleet benchmarking process but also provides actionable, data-driven recommendations tailored to each customer's specific needs. In this role, you will support Catalyst AI and future generations of the product. Working with a diverse team, you will lead the technical design of complex components that support our business-critical applications while mentoring other developers on best practices to deliver our next generation of innovative solutions to our customers. The ideal candidate should have experience managing Kubernetes clusters on cloud platforms such as AKS (Azure Kubernetes Service), EKS (Amazon Elastic Kubernetes Service), and GKE (Google Kubernetes Engine), along with proficiency in AWS services including EC2, CloudWatch, S3, IAM, VPC, and Secret Manager. This role requires a blend of infrastructure management, people management skills, administration, and DevOps skills to ensure the reliability, scalability, and security of our Kubernetes-based applications. You will be responsible for designing, deploying, and maintaining Kubernetes clusters across multiple environments (development, testing, production), configuring and optimizing cluster performance, scalability, and reliability, and implementing security best practices for Kubernetes infrastructure. You will also monitor cluster health and resource utilization using tools such as Prometheus, Grafana, and Kubernetes Dashboard, troubleshoot and resolve issues related to Kubernetes cluster operation, and implement infrastructure automation using tools like Terraform, Ansible, or Helm. Additionally, you will collaborate with development teams to streamline the containerization of applications and ensure compatibility with Kubernetes environments, while providing guidance on best practices for building and packaging containerized applications.