Sr. Azure Data Engineer

Cognizant Technology Solutions-posted 3 months ago
$107,000 - $125,000/Yr
Full-time • Senior
Remote • Phoenix, AZ
Professional, Scientific, and Technical Services
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As a Sr. Azure Data Engineer, you will make an impact by designing, deploying, and optimizing cloud-native infrastructure for mission-critical applications. You will be a valued member of our Technology & Engineering team, collaborating with application developers, security professionals, and cross-functional teams to drive cloud adoption and deliver exceptional support experiences.

  • Architect, deploy, and manage Azure Kubernetes Service (AKS) clusters and related Azure container services (ACI, ACR) for enterprise-scale applications.
  • Implement and optimize infrastructure-as-code solutions using Terraform, Azure DevOps, and Helm for automated deployments and configuration management.
  • Troubleshoot and resolve complex issues related to AKS, SQL Server, networking, and application performance, ensuring high availability and reliability.
  • Apply Kubernetes best practices, including RBAC, resource quotas, taints/tolerations, labels, network policies, and security scanning of container images.
  • Collaborate with development and operations teams to ensure seamless integration, monitoring, and proactive problem resolution using tools such as Prometheus, Grafana, Splunk, AppDynamics, and Log Analytics.
  • Proven experience deploying and managing Azure Kubernetes Service (AKS) and related Azure container technologies (ACI, ACR).
  • Strong proficiency in infrastructure-as-code tools such as Terraform, Helm, and Azure DevOps.
  • Hands-on experience with SQL Server (DBMS, Analysis Services, Reporting Services) and troubleshooting database connectivity and performance issues in cloud environments.
  • Solid understanding of Kubernetes networking, storage, and security best practices.
  • Bachelor's or master's degree in electrical engineering, Computer Science, or a related field.
  • Experience supporting mission-critical, large-scale cloud environments for healthcare, government, or enterprise customers.
  • Familiarity with monitoring and diagnostic tools such as Prometheus, Grafana, Splunk, AppDynamics, and Log Analytics.
  • Expertise in container security, including vulnerability scanning and remediation using tools like Aqua and Wiz.
  • Strong collaboration skills, with a track record of mentoring, knowledge sharing, and cross-team engagement.
  • Experience with additional Azure services (Virtual Machines, Networking, Machine Learning) and DevOps practices.
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan
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