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Marsh McLennan

Kubernetes Platform Engineer

Posted 4 Hours Ago
Be an Early Applicant
5 Locations
Mid level
5 Locations
Mid level
The Kubernetes Administrator will manage, configure, and maintain Kubernetes clusters, ensuring high availability and scalability while providing support and guidance to development and operations teams.
The summary above was generated by AI

Company:MMC Corporate

Description:

We are seeking a skilled Kubernetes Platform Engineer with a strong background in Cloud technologies (AWS, Azure) to manage, configure, and support Kubernetes infrastructure in a dynamic, high-availability environment. The Engineer will collaborate with Development, DevOps, and other technology teams to ensure that the Kubernetes platform ecosystem is reliable, scalable, and efficient.

 Kubernetes Platform Engineer

We will count on you to:

  • Implement and maintain platform services in Kubernetes infrastructure.

  • Perform upgrades and patch management for Kubernetes and its associated components.

  • Monitor and optimize Kubernetes resources, such as pods, nodes, and namespaces.

  • Implement and enforce Kubernetes security best practices, including RBAC, network policies, and secrets management.

  • Troubleshoot and resolve issues related to Kubernetes infrastructure in a timely manner.

What you need to have:

  • At least 3 years of experience in managing and supporting Kubernetes clusters at the platform operation layer.

  • Proficiency in managing Kubernetes clusters using tools such as kubectl, Helm, or Kustomize.

  • In-depth knowledge and experience of container technologies, including Docker.

  • Experience with cloud platforms (AWS, GCP, Azure) and Kubernetes services (EKS, GKE, AKS).

  • Completion of Certified Kubernetes Administrator (CKA) certification.

What makes you stand out:

  • Experience with infrastructure management and support, including SSL certificates and Virtual IPs.

  • Understanding of infrastructure-as-code (IaC) tools such as Terraform or CloudFormation.

  • Experience with monitoring tools like Prometheus, Grafana, or Datadog.

  • Proficiency in scripting languages (e.g., Bash, Python, or Go).

  • Excellent team player with strong analytical and problem-solving skills, and experience in root cause analysis.

Why join our team:

  • We help you be your best through professional development opportunities, interesting work and supportive leaders.

  • We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.

  • Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh McLennan (NYSE: MMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marshmclennan.com, or follow on LinkedIn and X.Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting [email protected].

Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

Top Skills

AWS
Azure
Bash
Datadog
Docker
GCP
Go
Grafana
Helm
Kubernetes
Kustomize
Prometheus
Python
Terraform

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