Job description

Description Summary: Our Enterprise Data and Analytics department is growing, and we re looking for an outstanding MLOps Automation Engineer Lead to join our team. 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. 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. The primary focus is automating development and delivery processes and maintaining the continuous integration and continuous deployment (CI/CD) pipeline. Duties and Responsibilities: Streamline the data, analytics, and model development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them through automation. 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. Work closely with cross-functional stakeholders to analyze and troubleshoot complex production issues. Prepare and present design and implementation documentation to multiple stakeholders. Promote automation across the data management and analytics delivery organization. Provide leadership, coaching, and mentoring to team members and develop team to work with all areas of the organization. Work with stakeholders to ensure that business needs are clearly understood and that services meet those needs. Anticipate and analyze trends in technology while assessing the emerging technology’s impact(s). Coach individuals and teams through change and serve as a role model. Perform other duties as assigned. Basic Qualifications: 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) Preferred Qualifications: 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 Knowledge of Kubernetes security posture management, RBAC, network policies, and cluster hardening Experience with service mesh technologies (e.g., Istio) and understanding of virtual service configurations Hands-on experience managing multi-environment Kubernetes clusters (dev, sandbox, production) Ability to demonstrate backup and disaster recovery strategies in Kubernetes environments Exposure to advanced networking solutions such as Cilium for network security and observability Understanding of Kubernetes observability and monitoring (e.g., Prometheus, Grafana, CloudWatch) Experience developing CI/CD workflows and tools Strong automation scripting skills Experience in configuration management, test-driven development, and release management Strong analytical and troubleshooting skills Experience with agile development and strong understanding of DataOps and ModelOps principles Ability to investigate and analyze information, and to draw conclusions Flexibility, adaptability, and desire to learn new languages and technologies Strong verbal and written communication skills Demonstrated ability to work independently across multiple tasks while meeting aggressive timelines Strategic, intellectually curious thinker with focus on outcomes Financial Services background Professional image with the ability to form relationships across functions Ability to train more junior analysts regarding day-to-day activities, as necessary Proven ability to lead cross-functional efforts Willingness and ability to learn new technologies on the job Exempt Status: (Yes not eligible for overtime pay) ( No eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington s Career Web Site for more details. Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Requirements

Must-haves

Streamline the data, analytics, and model development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them through automation.
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.
Work closely with cross-functional stakeholders to analyze and troubleshoot complex production issues.
Prepare and present design and implementation documentation to multiple stakeholders.
Promote automation across the data management and analytics delivery organization.

Nice-to-haves

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
Knowledge of Kubernetes security posture management, RBAC, network policies, and cluster hardening
Experience with service mesh technologies (e.g., Istio) and understanding of virtual service configurations
Hands-on experience managing multi-environment Kubernetes clusters (dev, sandbox, production)
Ability to demonstrate backup and disaster recovery strategies in Kubernetes environments
Exposure to advanced networking solutions such as Cilium for network security and observability

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

ci/cdawsmlkubernetesjavascriptpythonjavaazuredockeragile

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

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