Corporate Functions Senior AWS Cloud Engineer – VP III

Corporate Functions Senior AWS Cloud Engineer – VP III

Who We Are Looking For

We are seeking a highly experienced, hands-on technology leader to serve as the Corporate Functions Senior AWS Cloud Engineer – VP III , responsible for designing, engineering, deploying, and supporting complex AWS-based applications and AI-enabled platforms across Corporate Functions Technology.

This role is intended for a senior cloud engineer who can operate as a principal-level technical contributor with deep hands-on expertise across the AWS ecosystem. The successful candidate will be responsible for building secure, scalable, production-ready cloud solutions that support enterprise applications, intelligent assistants, AI-enabled workflows, automation, integrations, data services, and operationally resilient platforms.

The ideal candidate has extensive experience deploying end-to-end applications into AWS, including networking, compute, application hosting, load balancing, security, data services, secrets management, observability, CI/CD, and production support. This individual must also have hands-on experience enabling AI capabilities within AWS, including Amazon Bedrock, AI service integrations, model endpoint connectivity, AI orchestration patterns, and secure deployment of AI-enabled applications.

This is not a purely advisory or architecture-only role. The candidate must be able to actively engineer, configure, deploy, troubleshoot, automate, and support complex AWS environments while also guiding other engineers and development teams on cloud-native engineering best practices.

Why This Role Matters

Corporate Functions is expanding the use of cloud-native technologies, AI-powered business capabilities, intelligent automation, and modern application platforms across HR, Legal, Audit, Compliance, Risk, Realty, and other business domains.

This role will help establish the engineering foundation required to:

• •Deploy secure, scalable, and resilient applications into AWS.
• •Enable AI-powered applications and intelligent business workflows.
• •Support enterprise-grade architectures across application, data, integration, security, and observability layers.
• •Implement reusable AWS engineering patterns that accelerate delivery.
• •Improve cloud security, operational resilience, and production maturity.
• •Support modernization of legacy platforms into cloud-native and AI-enabled solutions.
• •Partner across application, architecture, cybersecurity, infrastructure, and business teams to deliver measurable business value.

This is a highly visible senior engineering role that will directly influence how Corporate Functions builds, deploys, and operates modern AWS and AI-enabled solutions.

What You Will Be Responsible For

1. AWS Cloud Engineering & Architecture

• •Design, engineer, deploy, and support complex AWS solutions for enterprise business applications.
• •Build secure, highly available, scalable, and resilient cloud environments.
• •Implement AWS architectures across multiple availability zones.
• •Establish reusable AWS reference architectures, deployment patterns, and engineering standards.
• •Lead cloud modernization efforts for applications moving into AWS.
• •Partner with architects and application teams to translate business and platform requirements into production-ready cloud solutions.
• •Provide hands-on engineering leadership across design, build, release, troubleshooting, and support activities.

2. End-to-End AWS Application Deployment

• •Deploy enterprise applications into AWS from infrastructure setup through production release.
• •Engineer complete application environments across:
• •VPC and network configuration
• •Private and application subnets
• •Load balancing
• •Compute services
• •Application hosting
• •Data services
• •Secrets and certificate management
• •Monitoring and alerts
• •Security controls
• •CI/CD automation

• •Support backend application deployment patterns including Tomcat, Java services, APIs, microservices, containers, and serverless workloads.
• •Troubleshoot complex application, infrastructure, networking, and security issues.
• •Ensure applications are production-ready, operationally supportable, and aligned with enterprise standards.

3. Required AWS Platform Expertise

Serve as a subject matter expert across core AWS services, including:

• •VPC
• •Subnets
• •Security Groups
• •Route 53
• •Application Load Balancer
• •Auto Scaling Groups
• •EC2
• •ECS
• •EKS
• •Lambda
• •API Gateway
• •EventBridge
• •Step Functions
• •RDS
• •Aurora
• •PostgreSQL
• •ElastiCache / Redis
• •S3
• •Secrets Manager
• •Certificate Manager
• •CloudWatch
• •CloudTrail
• •IAM
• •Systems Manager
• •VPC Endpoints
• •PrivateLink

The candidate must be able to configure, deploy, troubleshoot, and support these services in complex enterprise environments.

4. AWS AI Engineering & Intelligent Application Enablement

• •Design and deploy AWS-based AI-enabled applications and intelligent business platforms.
• •Implement AI solutions using AWS-native services, including Amazon Bedrock and related AI/ML capabilities.
• •Integrate applications with LLMs, model endpoints, AI services, enterprise APIs, and internal AI platforms.
• •Engineer secure patterns for AI service invocation, prompt processing, response handling, audit logging, and operational monitoring.
• •Support AI-enabled applications that interact with users, enterprise systems, workflow engines, databases, and external services.
• •Implement responsible AI engineering controls including observability, traceability, guardrails, human oversight, logging, and escalation patterns.
• •Partner with architecture, cybersecurity, data, risk, and business teams to ensure AI capabilities are secure, compliant, scalable, and operationally mature.

5. AWS-Native AI Orchestration & Agentic Patterns

• •Build and support AWS-native orchestration patterns for AI-enabled workflows.
• •Implement solutions leveraging:
• •Amazon Bedrock
• •Lambda
• •Step Functions
• •EventBridge
• •API Gateway
• •CloudWatch
• •Secrets Manager
• •IAM
• •VPC Endpoints
• •AWS-hosted application services

• •Support enterprise AI deployment patterns involving tool calling, workflow orchestration, event-driven processing, and secure backend service execution.
• •Engineer integration patterns that allow AI-enabled applications to interact with enterprise systems and business processes.
• •Support Agent-to-Agent and system-to-system integration patterns where AI capabilities need to coordinate across internal and external platforms.
• •Ensure AI workloads are observable, secure, auditable, resilient, and aligned with enterprise governance requirements.

6. Infrastructure Automation & DevOps

• •Develop and maintain Infrastructure as Code for AWS environments.
• •Automate environment provisioning, application deployment, configuration, and release management.
• •Build and support CI/CD pipelines for cloud-native and AI-enabled applications.
• •Partner with development teams to streamline deployment processes.
• •Improve engineering productivity through reusable templates, automation scripts, and deployment patterns.
• •Support DevOps, SRE, and operational excellence practices across cloud environments.

7. Security, Secrets Management & Cloud Governance

• •Implement security controls across AWS application environments.
• •Configure IAM roles, policies, access controls, encryption, secrets, certificates, and secure service-to-service communication.
• •Support VPC endpoint and PrivateLink patterns for private connectivity.
• •Ensure cloud environments meet enterprise standards for cybersecurity, data protection, auditability, resiliency, and compliance.
• •Partner with Cybersecurity, Cloud Governance, Enterprise Architecture, Risk, and Infrastructure teams.
• •Support architecture reviews, cloud governance approvals, risk assessments, and production readiness processes.

8. Monitoring, Observability & Production Support

Implement monitoring, logging, tracing, alerting, and observability solutions for AWS-host