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EI

cloud engineers #2

Expert In Recruitment Solutions
🇺🇸 United States
On-site
Mid level
11 months ago
  • Devops
  • Azure
  • GCP
  • AWS
  • Terraform
  • Python
  • Java
  • IaC
  • Docker
  • Kubernetes
  • AKS
  • Azure AD
  • IAM
  • AWS IAM
  • Azure Functions
  • AWS Lambda
  • RBAC
  • VPC
  • Compute Engine
  • GKE
  • CloudFormation
  • Helm
  • Conditional Access
  • SAML
  • OIDC
11 months ago
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Title: cloud engineers #2 Location: hybrid in Pittsburgh, pa, Lake, Mary, Or Jersey City, NJ


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
Manager is looking at formatting of resume so less is more

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
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; GCP 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.

cloud engineers #2 · Expert In Recruitment Solutions

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