Customers Bancorp

1 week ago

Azure Cloud Engineer, AI & Automation

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Administer, operate, and govern Azure cloud and AI solutions, spanning Azure landing zones, infrastructure-as-code, and CI/CD pipelines. Oversee end-to-end production workloads and integrations that connect AI platforms (Azure AI Foundry, Azure OpenAI, Claude, OpenAI) to enterprise systems using secure MCP patterns, APIs, and event-driven services. Implement RAG with Azure AI Search, automate workflows with Power Automate/Logic Apps/Copilot Studio, and apply AI/cloud governance using Azure Policy, monitoring, and guardrails.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Design and implement Azure solutions across compute, networking, identity, storage, and platform services aligned to enterprise standards.
•Build and maintain CI/CD pipelines in Azure DevOps and GitHub Actions for infrastructure-as-code and deployments using Bicep, ARM, or Terraform.
•Administer and operate AI platforms, including model configuration, access controls, usage policies, evaluations, and production deployments.
•Administer and govern MCP integrations, including authentication, access controls, data-handling boundaries, and usage policies.
•Manage APIs and event-driven services that connect AI platforms to business capabilities, including API security gateway installation and configuration.

Key Requirements

•5+ years in cloud or software engineering, including 3+ years hands-on building and operating Microsoft Azure workloads.
•Production experience with core Azure services such as virtual networking, App Service, Functions, API Management, Entra ID, Key Vault, Storage, and monitoring.
•Hands-on administration of AI platforms including Azure AI Foundry, Azure OpenAI, Anthropic Claude, and OpenAI with production operations.
•Working knowledge of Model Context Protocol (MCP) or comparable AI integration patterns for safely connecting and governing enterprise systems.
•Experience building CI/CD pipelines in Azure DevOps or GitHub Actions and authoring infrastructure-as-code with Bicep, ARM, or Terraform.

Experience:5+ years

Education:Bachelor's in Computer Science, Information Systems, or equivalent experience

Skills:CommunicationMentoring

Certifications:Azure Administrator Associate (AZ-104)Azure Solutions Architect Expert (AZ-305)DevOps Engineer Expert (AZ-400)

Tech Stack:Microsoft AzureAzure AI FoundryAzure OpenAIAnthropic ClaudeOpenAIModel Context Protocol (MCP)Azure DevOpsGitHub ActionsBicepARMTerraformAzure landing zonesApp ServiceAzure FunctionsAPI ManagementService BusEvent GridAPI security gatewayAzure AI SearchVector stores

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Customers Bancorp

Customers Bancorp is a bank holding company that provides commercial and consumer banking services through Customers Bank. It offers lending, deposit products, cash management, and digital banking solutions for businesses and individuals.

Industry: Banking

Company Size: Large (251 to 1,000 employees)

Revenue: USD 100M to 250M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: West Reading, United States

Founded: 1997

Website LinkedIn

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Customers Bancorp

1 week ago

Azure Cloud Engineer, AI & Automation

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Design and implement Azure solutions across compute, networking, identity, storage, and platform services aligned to enterprise standards.
•Build and maintain CI/CD pipelines in Azure DevOps and GitHub Actions for infrastructure-as-code and deployments using Bicep, ARM, or Terraform.
•Administer and operate AI platforms, including model configuration, access controls, usage policies, evaluations, and production deployments.
•Administer and govern MCP integrations, including authentication, access controls, data-handling boundaries, and usage policies.
•Manage APIs and event-driven services that connect AI platforms to business capabilities, including API security gateway installation and configuration.

Key Requirements

•5+ years in cloud or software engineering, including 3+ years hands-on building and operating Microsoft Azure workloads.
•Production experience with core Azure services such as virtual networking, App Service, Functions, API Management, Entra ID, Key Vault, Storage, and monitoring.
•Hands-on administration of AI platforms including Azure AI Foundry, Azure OpenAI, Anthropic Claude, and OpenAI with production operations.
•Working knowledge of Model Context Protocol (MCP) or comparable AI integration patterns for safely connecting and governing enterprise systems.
•Experience building CI/CD pipelines in Azure DevOps or GitHub Actions and authoring infrastructure-as-code with Bicep, ARM, or Terraform.

Experience:5+ years

Education:Bachelor's in Computer Science, Information Systems, or equivalent experience

Skills:CommunicationMentoring

Certifications:Azure Administrator Associate (AZ-104)Azure Solutions Architect Expert (AZ-305)DevOps Engineer Expert (AZ-400)

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Customers Bancorp

Industry: Banking

Company Size: Large (251 to 1,000 employees)

Revenue: USD 100M to 250M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: West Reading, United States

Founded: 1997

Website LinkedIn