Cloud Engineer - Hybrid (Local to Pittsburgh, PA, Lake Mary, Or Jersey City, NJ only and W2 only)

Location: Pittsburgh, PA, USA/Lake Mary, FL/Jersey City, NJ

Length: Long term

Restriction: W2 Only

Description:

**** Webcam interview; *** Long term project *** Hybrid - 3 days onsite ****

Job description:

Role Overview

We are seeking experienced Cloud Engineers to support clients cloud transformation initiatives. These roles are hands-on engineering positions focused on infrastructure automation, cloud security posture, and scalable platform design NOT application development or support.

• Experience: 5 10 years (7+ preferred)
• Primary Platform: Azure
• Secondary Exposure: Google Cloud Platform (near-term investment), AWS (optional)
• Key Technologies:
  • Infrastructure as Code: Terraform Enterprise (critical)
  • Programming: Python (must-have), Java (optional)
  • Containers: Docker, Kubernetes (AKS preferred)
  • Security: Azure AD/IAM, AWS IAM fundamentals
  • Serverless (nice-to-have): Azure Functions, AWS Lambda
• Core Capabilities & Responsibilities
  • Azure Platform Engineering
  • Design/manage VNets, subnets, NSGs, Azure Firewall, VPN Gateway/ExpressRoute
  • Deploy/update resources using Terraform
  • Configure Azure AD service principals, RBAC, managed identities
• Google Cloud Platform & AWS Exposure (Secondary)
  • Google Cloud Platform: VPC networks, firewall rules, IAM roles, Compute Engine & GKE via Deployment Manager or Terraform
  • AWS: VPCs, IAM roles/policies, Auto Scaling, CloudFormation or Terraform
• Infrastructure as Code
  • Author modular Terraform Enterprise configurations
  • Use remote state and workspace management
• Programming & Automation
  • Develop automation scripts and cloud-native tooling in Python
  • Implement robust error handling and integration with cloud services
• Containers & Kubernetes
  • Build/publish Docker images to ACR/ECRR
  • Deploy/manage Kubernetes workloads (AKS/GKE), Helm charts, rolling updates
• Cloud Security Integration
  • Azure AD: RBAC, service principals, conditional access
  • AWS IAM: least-privilege policies, cross-account roles, SAML/OIDC federation
• Serverless (Desirable)
  • Build event-driven functions
  • Integrate with storage/messaging services
  • Manage function versions and durable workflows

Manager Insights & Priorities

• Focus is on hands-on cloud engineering not development or support.
• Terraform and Python are critical skills.
• Immediate impact is on Azure; Google Cloud Platform is small; They are purchasing aws next year
• Engineers must be customer-facing: gather requirements, troubleshoot, design, and build.
• Candidates should be able to rationalize cloud security postures and contribute to foundational engineering.
• Strong preference for solid cloud engineers with infrastructure automation experience.

Additional Information:

Needs:

• AZURE
• Google Cloud Platform Nice to have. Aws Nice to Have
• TERRAFORM is super important
• Platform Engineering- Go, Python, Java
• Greenfield Cloud development, not just deployments
• Cloud Native Experience- Nice to have