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Job Closed

Azure & Google Cloud Engineer

  • Source: LinkedIn
  • Excelon Solutions
  • On-site
  • New York City
  • Mid level

Job Description

Job Role: Azure & Google Cloud Engineer

Location: NYC, NY (Local candidates only) – Hybrid expectation 2-3 days onsite per week

Duration: 12+ Months

Interview: In-person

OPEN TO GC/USC/GC EAD/H4 EAD

Please prioritize stronger candidates with experience at reputable clients. Utility or Energy sector Industry will be amazing but not a must!!

Position Overview:

We are seeking an experienced Azure & Google Cloud Engineer (Contractor) to support cloud infrastructure, application modernization, data integration, and platform operations across Microsoft Azure and Google Cloud Platform (GCP).

The ideal candidate will have hands-on experience designing, implementing, securing, and maintaining cloud-native solutions while ensuring scalability, reliability, and compliance with enterprise standards.

Key Responsibilities:

• Design, implement, and support cloud solutions in Microsoft Azure and Google Cloud Platform (GCP).

• Build and maintain cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform or ARM/Bicep.

• Develop and manage CI/CD pipelines using Azure DevOps, GitHub Actions, or similar platforms.

• Configure and support cloud networking, security, identity management, and access controls.

• Monitor cloud environments, troubleshoot issues, and optimize performance and costs.

• Implement backup, disaster recovery, and business continuity strategies.

• Support cloud migration initiatives from on-premises environments to Azure and GCP.

• Work closely with application development, data engineering, cybersecurity, and infrastructure teams.

• Ensure compliance with organizational security, governance, and operational standards.

• Maintain technical documentation, architecture diagrams, and operational procedures.

Required Qualifications:

• Bachelor’s degree in computer science, Information Technology, Engineering, or related field.

• 7+ years of experience in cloud engineering or cloud infrastructure management.

• Strong hands-on experience with:

o Microsoft Azure (App Services, Storage Accounts, Azure SQL, Functions, Key Vault, Networking)

o Google Cloud Platform (Compute Engine, Cloud Storage, Cloud SQL, GKE, IAM)

• Experience with Infrastructure as Code (Terraform, ARM Templates, Bicep).

• Experience with CI/CD tools such as Azure DevOps, GitHub Actions, or Jenkins.

• Strong understanding of networking, DNS, firewalls, VPNs, identity and access management.

• Experience with scripting languages such as PowerShell, Python, or Bash.

• Knowledge of cloud security best practices and compliance frameworks.

Preferred Qualifications:

• Microsoft Azure Certifications (AZ-104, AZ-305, AZ-400).

• Google Cloud Certifications (Associate Cloud Engineer, Professional Cloud Architect).

• Experience with Kubernetes, Docker, and container orchestration platforms.

• Experience supporting enterprise-scale cloud migration and modernization projects.

• Knowledge of data integration and analytics platforms.

Desired Skills:

• Excellent problem-solving and troubleshooting abilities.

• Strong communication and collaboration skills.

• Ability to work independently in a fast-paced environment.

• Strong documentation and stakeholder management skills.

TECHNICAL SKILLS Must Have :

3+ years of experience with C#, .Net, HTML, CSS, and JavaScript/jQuery

Azure Cloud Data Engineer

Azure Machine Learning

Big Query

Database/ETL/BI expert

Google cloud Data Engineer

Python Pyspark programming

Nice To Have:

Azure Databricks

GCP Cloud Architect

Generative AI

Google Cloud Certifications

Vertex AI

Skills

  • microsoft-azure
  • google-cloud-platform
  • Terraform
  • azure-devops
  • Github
  • github-actions
  • azure-storage
  • azure-app-service
  • azure-sql
  • azure-functions
  • azure-key-vault
  • vault
  • google-compute-engine
  • google-cloud-storage
  • google-cloud-sql
  • Jenkins
  • powershell
  • Python
  • Kubernetes
  • Docker
  • c-sharp
  • dot-net
  • javascript
  • jQuery
  • azure-machine-learning
  • pyspark
  • azure-databricks
  • databricks
  • vertex
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