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4 дня назад

MLOps Automation Engineer Lead (Kubernetes)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
MLOps Automation Engineer Lead (Kubernetes): Automating data, analytics, and model delivery pipelines on AWS EKS with an accent on CI/CD, infrastructure provisioning, and production model operations. Focus on containerized workload automation, Kubernetes security and observability, disaster recovery, OAuth 2.0 integration, and coaching engineering teams.

Location: Columbus, OH, United States; Workplace type: Office

Company

hirify.global is a regional bank expanding its enterprise data and analytics capabilities.

What you will do

  • Automate the data, analytics, and model development lifecycle, including unattended build and delivery pipelines.
  • Develop and improve CI/CD automation for containerized workloads running on AWS EKS.
  • Provision Kubernetes environments with AWS EKS and Terraform in response to changing processing demand.
  • Design and maintain infrastructure for ML model deployment, including containerization, resource optimization, OAuth 2.0, security, and disaster recovery.
  • Build automated testing and production model feedback mechanisms, and troubleshoot complex production issues.
  • Lead, coach, and mentor team members while coordinating with development, operations, QA, security, architecture, and data engineering stakeholders.

Requirements

  • Bachelor’s degree in Computer Science, Business Administration, Economics, or a related field, or equivalent relevant experience.
  • 7+ years of experience in automation engineering, software engineering, or a related field.
  • 7+ years of experience with a coding language such as JavaScript, C++, Python, or Java; CI/CD tools; and platforms including AWS, Docker, or Kubernetes.
  • Strong automation scripting, analytical, troubleshooting, communication, and cross-functional leadership skills.
  • Experience with agile development and DataOps or ModelOps principles.
  • Ability to work independently across multiple tasks and meet aggressive timelines.

Nice to have

  • Hands-on Kubernetes and managed Kubernetes experience, including AWS EKS, GKE, or Azure Kubernetes Service.
  • Experience with Terraform, Helm, RBAC, network policies, cluster hardening, service meshes, and multi-environment clusters.
  • Knowledge of EKS networking and storage, IRSA, EKS add-ons, vulnerability management, observability with Prometheus, Grafana, or CloudWatch, and backup and disaster recovery.
  • Kubernetes certification such as CKAD or CKA, plus financial services experience.

Culture & Benefits

  • Full-time, exempt position.
  • The role is designated as an office workplace; specific flexible arrangements may be provided by the hiring team.
  • Work involves collaboration across nearly every area of the organization.

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