Senior Azure Kubernetes Engineer

As a Senior Azure Kubernetes Engineer, you will make an impact by designing, operating, and optimizing Azure Kubernetes Service platforms that support TriZetto QNXT workloads in healthcare payer environments. You will be a valued member of the healthcare technology team and work collaboratively with QNXT products, DevOps, Azure infrastructure, environment management, batch, and production support teams.

In this role, you will:

• Design, provision, and operate secure, scalable Azure Kubernetes Service clusters for QNXT workloads across non-production, production, and disaster recovery environments.

• Manage Kubernetes namespaces, node pools, ingress, workload placement, autoscaling, service networking, and platform reliability.

• Implement Infrastructure as Code using Terraform or Bicep to support repeatable Azure environment builds.

• Enforce identity, access, and security controls using Microsoft Entra ID, managed identities, and Kubernetes RBAC.

• Establish monitoring and observability using Azure Monitor, Container Insights, and Kubernetes metrics.

• Support AKS lifecycle management, including upgrades, release readiness, troubleshooting, and production stability.

• Deploy and operate containerized .NET applications and support Microsoft SQL Server connectivity, performance, and availability.

Work model

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

• 5+ years of hands-on experience operating Kubernetes platforms, preferably Azure Kubernetes Service, in production environments.

• Strong knowledge of Kubernetes operations, including cluster builds, node pool management, autoscaling, ingress, upgrades, and troubleshooting.

• Experience with Azure infrastructure services, including virtual networks, subnets, load balancers, ident