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Vice President Aws Cloud Engineer Jobs (NOW HIRING)

LPL Financial

VP, AWS Support

Fort Mill, SC · On-site

As the VP, AWS Support, you lead the Support team in LPL's Cloud Center of Excellence (CCOE). You ... Recruit, develop, mentor, and retain a globally distributed team of senior cloud engineers across ...

LPL Financial

VP, AWS Support

Fort Mill, SC · On-site

As the VP, AWS Support, you lead the Support team in LPL's Cloud Center of Excellence (CCOE). You ... Recruit, develop, mentor, and retain a globally distributed team of senior cloud engineers across ...

LPL Financial

VP, AWS Support

Austin, TX · On-site

As the VP, AWS Support, you lead the Support team in LPL's Cloud Center of Excellence (CCOE). You ... Recruit, develop, mentor, and retain a globally distributed team of senior cloud engineers across ...

Apexon

AWS Cloud Engineer

Lake Mary, FL · On-site

$48.75 - $65.25/hr

Job Summary We are seeking an experienced AWS Cloud Engineer to join our cloud infrastructure team. The ideal candidate will have strong expertise in AWS Cloud, Infrastructure as Code (Terraform ...

Alpha Consulting Corp.

AWS Cloud Engineer

Minneapolis, MN · On-site

$58.25 - $77.75/hr

Alpha Consulting Corp. is a consulting firm, and they are seeking an experienced AWS Cloud Engineer to design, implement, and manage secure, scalable AWS infrastructure. The role requires strong ...

Maximus

AWS Cloud Engineer

Arlington, VA · On-site

$64.25 - $85.75/hr

The AWS Cloud Engineer will be responsible for designing, implementing, maintaining, and optimizing secure cloud infrastructure supporting mission-critical Department of Defense operations. This role ...

Kayla's HR Co

AWS Cloud Engineer

Lebanon, TN

$53.50 - $71.50/hr

AWS Cloud Engineer - AWS Cloud Engineer Location: Lebanon, Tennessee 37090 Work Arrangement: On-Site About This Opportunity We're seeking a talented AWS Cloud Engineer to join our growing team in ...

Maximus, Inc.

AWS Cloud Engineer

Arlington, VA · On-site

$64.25 - $85.75/hr

The AWS Cloud Engineer will be responsible for designing, implementing, maintaining, and optimizing secure cloud infrastructure supporting mission-critical Department of Defense operations. This role ...

Jobgether

$105K - $120K/yr

Our partner is looking for an AWS Cloud Engineer based in Netherlands. This is a mid-level cloud engineering role focused on designing, deploying, and optimizing AWS environments for diverse client ...

New

Inficare Technologies

AWS Cloud Engineer

$57 - $76.25/hr

AWS Cloud Engineer Location: Remote (EST/CST) Job Type: Contract Experience: 3+ years Job Overview Our client is seeking a skilled AWS Cloud Engineer to contribute to the development of a next ...

Scalence L.L.C.

AWS Cloud Engineer

Minneapolis, MN · On-site

$58.25 - $77.75/hr

C. is seeking an experienced AWS Cloud Engineer to design, implement, and manage secure and scalable AWS infrastructure for critical business applications. The role requires strong hands-on AWS ...

Converge Resources

AWS Cloud Engineer

Fort Worth, TX

$53.50 - $71.50/hr

AWS Cloud Engineer AWS security experience is a plus Location: Dallas, TX | Phoenix, AZ | Columbus, OH | On-site, Monday-Friday Type: Contract-to-Hire (6-12 months) Industry: Financial Services ...

Conflux Systems

AWS Cloud Engineer

Atlanta, GA · On-site

$53.50 - $71.50/hr

AWS Cloud Engineer - Remote Job Summary We are looking for an experienced AWS Cloud Engineer to design, implement, automate, and maintain secure and scalable cloud infrastructure on Amazon Web ...

Apex Informatics

AWS Cloud Engineer

Manhattan, NY · On-site

$61.50 - $82.25/hr

AWS Cloud Engineer W2 Candidates- Visa open Location - NYC NY (Only Local candidates) Interview - In-Person is must 10-15 YR EXP. REQUIRED • Looking for a hands-on cloud engineer (AWS) • Should ...

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How much do vice president aws cloud engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for vice president aws cloud engineer in the United States is $215,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $180,000.00 and $232,000.00 per year, depending on experience, location, and employer.

What is the difference between Vice President Aws Cloud Engineer vs Cloud Solutions Architect?

AspectVice President Aws Cloud EngineerCloud Solutions Architect
CredentialsAWS certifications, leadership experience, advanced degreesAWS certifications, technical expertise, architecture experience
Work EnvironmentExecutive leadership, strategic planning, cross-departmental collaborationTechnical design, client interaction, project implementation
Employer & Industry UsageLarge enterprises, cloud service providers, tech companiesIT consulting firms, cloud service providers, enterprise IT teams

The Vice President Aws Cloud Engineer focuses on strategic leadership, overseeing cloud initiatives at an executive level, while the Cloud Solutions Architect concentrates on designing and implementing cloud solutions. Both roles require AWS expertise, but the VP role emphasizes leadership and business strategy, whereas the architect role is more technical and project-focused.

What cities are hiring for Vice President Aws Cloud Engineer jobs?

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What are the most commonly searched types of Aws Cloud Engineer jobs?

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Vice President Aws Cloud Engineer jobs near you

Corporate Functions Senior AWS Cloud Engineer - VP III

Boston, MA • On-site

State Street Corporation
Finance and Insurance • 10K+ employees
Learn more about State Street Corporationexternal

$113K - $155K/yr

Full-time

Posted 27 days ago

Job description

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-hosted applications.
  • Utilize tools such as:
    • CloudWatch
    • CloudTrail
    • Prometheus
    • Grafana
    • Application logs
    • Infrastructure metrics
    • Health checks
  • Build dashboards and operational views for application and infrastructure support.
  • Perform root cause analysis and lead resolution of complex production issues.
  • Develop runbooks, operational procedures, monitoring standards, and support documentation.
  • Improve platform reliability, incident response, and operational maturity.

9. Enterprise Integration & Application Connectivity
  • Support secure integrations between AWS-hosted applications and enterprise platforms.
  • Build and support integration patterns involving:
    • Internal enterprise applications
    • Workday
    • ServiceNow
    • Microsoft 365
    • SharePoint
    • Vendor SaaS platforms
    • Enterprise AI platforms
    • Data and reporting platforms
  • Implement API-based, scheduled, event-driven, and service-to-service integration patterns.
  • Ensure integrations are reliable, secure, observable, and production-ready.
  • Troubleshoot complex connectivity, authentication, data flow, and application interaction issues.

10. Technical Leadership & Engineering Excellence
  • Serve as a senior AWS engineering authority across Corporate Functions Technology.
  • Provide technical guidance to development teams, cloud engineers, data engineers, and delivery partners.
  • Lead technical design reviews, deployment reviews, code reviews, and operational readiness assessments.
  • Establish AWS engineering standards, reusable patterns, and best practices.
  • Mentor engineers on cloud-native development, AI deployment patterns, observability, security, automation, and production support.
  • Influence technical direction across multiple Corporate Functions initiatives.

Must-Have Qualifications
  • 12+ years of experience in software engineering, cloud engineering, platform engineering, infrastructure engineering, or enterprise application delivery.
  • 8+ years of hands-on AWS engineering experience.
  • Proven experience deploying complex enterprise applications end-to-end into AWS.
  • Deep hands-on expertise with AWS networking, compute, security, data services, observability, and automation.
  • Strong experience designing and implementing secure multi-tier AWS architectures.
  • Required experience with AWS services including:
    • VPC
    • Subnets
    • Security Groups
    • Application Load Balancer
    • EC2
    • ECS / EKS
    • Lambda
    • API Gateway
    • EventBridge
    • Step Functions
    • RDS / Aurora / PostgreSQL
    • ElastiCache / Redis
    • S3
    • Secrets Manager
    • Certificate Manager
    • CloudWatch
    • CloudTrail
    • IAM
    • VPC Endpoints / PrivateLink
  • Required experience building or deploying AI-enabled applications within AWS.
  • Required experience with Amazon Bedrock or comparable cloud-based AI service integration.
  • Experience integrating applications with LLMs, model endpoints, enterprise AI platforms, or AI orchestration layers.
  • Strong understanding of AI deployment patterns, including prompt processing, service invocation, audit logging, observability, and responsible AI controls.
  • Experience with Infrastructure as Code, CI/CD pipelines, automated deployments, and DevOps practices.
  • Strong troubleshooting experience across cloud infrastructure, application services, networking, security, and production operations.
  • Ability to lead technical teams and influence engineering decisions without requiring direct management authority.
  • Strong communication skills with the ability to explain complex technical topics to application teams, architects, risk partners, and senior stakeholders.

Preferred Qualifications
  • Experience with Databricks.
  • Experience building data pipelines, lakehouse solutions, or enterprise data processing frameworks.
  • Experience integrating AWS-hosted applications with enterprise data platforms.
  • Experience with Java, Python, SQL, or modern backend development frameworks.
  • Experience with containerized workloads and Kubernetes-based deployments.
  • Experience with Agent-to-Agent integration patterns, enterprise AI orchestration, or workflow-driven AI solutions.
  • Experience supporting Corporate Functions domains such as HR, Legal, Audit, Compliance, Risk, Security, Realty, or Finance.
  • Experience within financial services or another highly regulated industry.
  • AWS Professional-level certifications strongly preferred.
  • AWS AI/ML, Security, DevOps, or Architecture certifications preferred.
  • Databricks certification is a plus.

What We Value
  • Deep hands-on AWS engineering capability.
  • Ability to build and operate complex solutions, not just design them.
  • Strong understanding of AI-enabled application patterns.
  • Practical cloud security and production support mindset.
  • Strong ownership and accountability.
  • Ability to simplify complex technical challenges.
  • Engineering excellence and attention to detail.
  • Continu
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About State Street

Sourced by ZipRecruiter

State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

Year founded

1792

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