The Huntington National Bank
MLOps Automation Engineer Lead
Columbus, Franklin County · Senior
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About the role
- At Huntington, this is an opportunity to work cross-functionally with nearly every team in the company to elevate the organization by uncovering trends and opportunities, decreasing the time to insight, and making data accessible to all.
- Our goal is to be the Best performing Regional Bank in America, and we need data and analytics to meet that goal.
- The primary focus is automating development and delivery processes and maintaining the continuous integration and continuous deployment (CI/CD) pipeline.
Responsibilities
- Understand the current process and technical complexities of developing and deploying data pipelines and model builds and develop automation solutions to improve and extend the existing process to become an unattended delivery pipeline.
- Collaborate closely with product development, architecture, data engineering and testing teams to understand their current build and release processes and make recommendations for improvement through the automation of various tasks.
- Partner with cross-functional stakeholders, including development, operations, quality assurance and security, to streamline processes.
- Develop and continuously improve automation solutions for containerized workloads on AWS EKS to enable teams to build and deploy quality data and code efficiently and consistently.
- Build automated testing solutions in support of quality management objectives to reduce manual effort.
- Build automated environment provisioning solutions leveraging AWS EKS and Terraform in response to changes in processing demand.
- Build automated feedback mechanisms to monitor the performance of models in production.
- Design and maintain AWS EKS infrastructure for ML model deployment, including containerization strategies, resource optimization, OAuth 2.0 integration, security posture management, and disaster recovery planning.
- Design and implement backup, disaster recovery, and business continuity solutions for EKS workloads.
- Implement and maintain secure authentication and authorization mechanisms using OAuth 2.0 within Kubernetes environments.
Requirements
- Bachelor's Degree (Computer Science, Business Administration, Economics or related fields) or equivalent relevant work experience
- 7+ years' experience in automation engineering, software engineering, or related field
- 7+ years' experience with one or more coding languages (e.g., JavaScript, C++, Python, Java), CI/CD tools (e.g., Jenkins, Artifactory, CircleCI, Ansible), and development platforms (e.g., AWS, Azure, Docker, Kubernetes)
Nice to have
- 3+ years' hands-on experience with Kubernetes, including understanding of core objects (namespaces, deployments, pods, services, virtual services, service accounts)
- Experience with OAuth 2.0 authentication protocols and implementing security best practices in Kubernetes environments
- Kubernetes certification (CKAD - Certified Kubernetes Application Developer or CKA - Certified Kubernetes Administrator)
- Experience with managed Kubernetes services (AWS EKS, GKE, or Azure Kubernetes Service
- Docker and Vulnerability management of docker images
- Establishment and adherence to Kubernetes Operational Metrics
- Deep experience with AWS EKS-specific services including VPC CNI networking, EBS/EFS persistent storage solutions, IAM roles for service accounts (IRSA), and EKS add-ons
- Experience with Kubernetes Infrastructure as Code using Terraform and Helm charts
Company info
- Our Enterprise Data and Analytics department is growing, and we're looking for an outstanding MLOps Automation Engineer Lead to join our team.
- As we advance our data and analytics capabilities, we want individuals interested in leading and developing current team members, while also serving as a technical leader who will still be involved in deploying data and models to production.
This listing is sourced directly from The Huntington National Bank's careers page and normalized into a canonical job model.