RIT Solutions, Inc.
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 zure 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.
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 zure 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.