Overview
Skills
Job Details
Our client seeks an Senior Azure Cloud Engineer (Hybrid 3 Days Onsite/ Week) at Warren, NJ. Please look at the job description, and if you are available, feel free to contact me at or Ext 327.
Role: Senior Azure Cloud Engineer (Hybrid 3 Days Onsite/ Week)
(Direct Client)
Location: Warren, NJ
Duration: 9 + Months
Note: No O PTs/ H 1s for this Position.
Job Description:
Needed Senior Azure Cloud Engineer with our Global Insurance/Reinsurance client. This position requires 3 days per week hybrid onsite in Warren, NJ.
Summary:
We are seeking a Senior Azure Cloud Engineer with deep expertise in building and optimizing cloud-native data platforms, event-driven architecture, and AI/ML workloads. You'll play a key role in shaping our cloud data strategy by designing scalable, secure, and high-performance solutions that drive data intelligence and innovation across the organization.
Responsibilities:
- Design and implement Azure cloud infrastructure to support data engineering pipelines, ML workflows, and AI solutions.
- Architect and operationalize data lake platforms using Azure Data Lake, Databricks, and Delta Lake.
- Build and support real-time and batch data pipelines using services like Event Hubs, Kafka, Stream Analytics, or Azure Data Factory.
- Collaborate with Data Scientists and ML Engineers to enable training, deployment, and scaling of machine learning models.
- Integrate Databricks into enterprise systems for advanced analytics and automation.
- Drive automation, CI/CD, and Infrastructure as Code using Terraform, ARM, or Bicep.
- Ensure performance, cost optimization, and security compliance across the cloud data ecosystem.
- Collaborate cross-functionally to define cloud strategy, evaluate new technologies, and mentor junior engineers.
- Optionally support multi-cloud initiatives, especially in Google Cloud Platform (Google Cloud Platform), to foster portability and resilience.
Requirements:
- 5+ years of experience in cloud engineering with a strong focus on Microsoft Azure.
- Proven experience with Azure Data Lake, Azure Databricks, Azure Synapse, and Data Factory.
- Hands-on expertise in streaming architecture and tools like Kafka, Event Hubs, or Stream Analytics.
- Solid experience with machine learning workflows and AI-enabling infrastructure (e.g., model versioning, inference pipelines).
- Strong proficiency in Python, Spark, SQL, and cloud-native scripting.
- Deep understanding of security, cost governance, monitoring, and resilience in Azure.
- Experience with containerized workloads using AKS or Docker is a plus.
- Familiarity with Google Cloud Platform (Google Cloud Platform) services such as BigQuery, Vertex AI, or Cloud Functions is a bonus.
Preferred Certifications:
- Microsoft Certified: Azure Solutions Architect Expert
- Microsoft Certified: Azure Data Engineer Associate
- Microsoft Certified: Azure AI Engineer Associate
- Google Cloud Certified (preferred but not required)
Best Regards
Kyle,
Sr. US IT Recruiter
Infinity Tech Group Inc,
12 N Route 17 Suite # 201 Paramus NJ 07652
(Office) Ext 327
Email:
LinkedIn:
Certifications: NMSDC / WBENC and MWBE Certified
Awards: Fast 50 Asian American businesses in USA
Partners: SAS Partner
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