Azure Cloud Architect & Multicloud Engineer

Mitchell Martin Inc.

Jersey City (NJ)

Hybrid

USD 66,000 - 96,000

Part time

3 days ago
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Job summary

Mitchell Martin Inc. in Jersey City is seeking a Cloud Engineer with Azure to design and operate scalable, secure cloud architectures in a hybrid work setting. This contract role emphasizes multi-cloud environments, infrastructure automation, and robust deployment pipelines for enterprise-scale platforms.

You will collaborate with cross-functional teams to elevate cloud maturity, govern long-term scalability, and ensure compliance across platforms while leveraging Azure, AWS, and GCP tools.

Qualifications

  • Deep experience in operating within large-scale, enterprise cloud environments.
  • Proven hands-on engineering across multiple cloud platforms.
  • Mastery in Infrastructure as Code using automation tools.
  • Strong background in distributed systems architecture.
  • Experience implementing cloud security controls and compliance measures.

Responsibilities

  • Design and build enterprise cloud platforms for long-term scalability and governance.
  • Implement CI/CD toolchains for streamlined automation processes.
  • Develop reusable patterns for efficient infrastructure management.
  • Guide engineering groups in best practices for cloud operations.
  • Define standards and reference architectures for cloud deployment.

Skills

Enterprise cloud
Multi-cloud
IaC
Distributed systems
Cloud security/compliance

Tools

Azure
AWS
GCP
Terraform
CI/CD Toolchains
Java
Python
Microservices
Container Orchestration

Job description

Mitchell Martin Inc. in Jersey City is seeking a Cloud Engineer with Azure to design and operate scalable, secure cloud architectures in a hybrid work setting. This contract role emphasizes multi-cloud environments, infrastructure automation, and robust deployment pipelines for enterprise-scale platforms.

You will collaborate with cross-functional teams to elevate cloud maturity, govern long-term scalability, and ensure compliance across platforms while leveraging Azure, AWS, and GCP tools.

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