DevOps Manager (Azure Kubernetes Container)

Overview

Remote
$60 - $65
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)

Skills

Azure
Kubernetes
MuleSoft
AKS

Job Details

Position: DevOps Manager (Azure Kubernetes Container)

Location: USA (Remote Work)

Job Type: Contract 12 Months

Required Experience Level: 12+ Years

Job Description:

1. Cluster & Infrastructure Management

Provisioning and scaling AKS clusters.

Managing AKS node pools, VM sizes, and scaling policies.

Integrating AKS with Azure services (Networking, AAD, Key Vault, Monitoring).

2. RTF Deployment & Lifecycle

Installing MuleSoft RTF using Helm or Anypoint-provided installers.

Upgrading RTF versions in alignment with MuleSoft releases.

Managing Runtime Fabric Agents, Services, and Pods.

3. Container & Application Orchestration

Deploying Mule applications as containers onto the RTF namespace.

Managing deployments, rollbacks, and scaling strategies.

Configuring ingress controllers and service meshes (NGINX, Istio if required).

4. Security & Compliance

RBAC and AAD integration for AKS.

Secret management using Azure Key Vault + MuleSoft secure properties.

Ensuring RTF pods meet compliance and security baselines (CIS, SOC2).

5. Observability & Performance

Integrating AKS monitoring with Azure Monitor / Prometheus / Grafana.

Setting up MuleSoft Anypoint Monitoring with AKS cluster metrics.

Log aggregation via ELK/EFK stacks or Azure Log Analytics.

6. Networking & Connectivity

Configuring VNETs, Subnets, and Private Endpoints.

Hybrid connectivity with on-prem services via VPN/ExpressRoute.

Secure APIs using MuleSoft API Gateway policies deployed in RTF.

Skills & Tools Expected:

Kubernetes Native: Helm, kubectl, Operators, ConfigMaps, Secrets.

Azure-Specific: Azure CLI, ARM/Bicep/Terraform, Azure Monitor, Key Vault, AAD, AKS scaling.

MuleSoft RTF: Familiarity with RTF architecture, Anypoint Platform, Application deployments, and policy enforcement.

CI/CD: GitHub Actions, Azure DevOps Pipelines, Jenkins for Mule deployments into RTF.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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