AWS Lambda, Amazon Web Services (AWS), Automation, Autoscaling, Cloud Computing, DevOps, Docker, Error Handling, Firewalls, GCP (Good Clinical Practices), Identity Data Management, Java, Machine Tool, Microsoft Windows Azure, Python Programming/Scripting Language, Scripting (Scripting Languages), Security Assertion Markup Language (SAML), Software Design, Software Development, Software Engineering, Subnet, VPN (Virtual Private Network), Writing Skills
Pittsburgh, PA,Lakemary, FL,Lakeland, FL,Jersey City, NJ, Pennsylvania
Senior Cloud Engineer
Location: hybrid in Pittsburgh, pa, Lake, Mary, Or Jersey City, NJ
Interview Process is 3 virtual rounds
12 month rolling contract on W2
This is an engineering positions, not devops or support. Very clear. Cloud Engineering, high level resources
Needs:
AZURE
GCP 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
Job description:
Role Overview
We are seeking experienced Cloud Engineers to support BNY Mellon's 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.
Title: Cloud Engineer Experience: 5-10 years (7+ preferred) Primary Platform: Azure Secondary Exposure: GCP (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
GCP & AWS Exposure (Secondary)
- GCP: 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/ECR/GCR
- 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