Senior AWS Cloud Engineer – VP III

State Street

. Design, engineer, deploy, and support complex AWS solutions for enterprise business applications .

Posted 9/30/2026full-timeUnited StatesSenior💰 $110,000 - $207,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in designing, deploying, and supporting complex AWS solutions, with a strong focus on cloud security, automation, and AI integration. Proven ability to lead technical teams and mentor engineers while ensuring high availability and scalability of enterprise applications.

Highest-signal resume keywords

AWS Engineering ExperienceCloud Architecture DesignInfrastructure as CodeAI Application DeploymentCI/CD Pipeline Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AWS NetworkingAWS SecurityAWS Data ServicesAWS ObservabilityVPC ConfigurationEC2LambdaRDS/Aurora/PostgreSQLInfrastructure as CodeCI/CD Automation

Soft Skills

Strong Communication SkillsTeam LeadershipMentoring

Tools & Technologies

Amazon BedrockCloudWatchAPI GatewayEventBridgeSecrets ManagerKubernetesTomcatJavaPythonSQL

Certifications & Qualifications

AWS Professional-Level CertificationsAWS AI/ML CertificationAWS Security CertificationAWS DevOps CertificationAWS Architecture CertificationDatabricks Certification

Industry Keywords

Enterprise ApplicationsCloud ModernizationAI ServicesDevOps PracticesRegulated Industries

Tech Stack

Tools & technologies

AWSCloudEC2JavaKubernetesMicroservicesPostgresPythonRedisServiceNowSQL

About the role

Key responsibilities & impact

Design, engineer, deploy, and support complex AWS solutions for enterprise business applications
Build secure, highly available, scalable, and resilient cloud environments across multiple availability zones
Establish reusable AWS reference architectures, deployment patterns, and engineering standards
Lead cloud modernization efforts for applications moving into AWS
Translate business and platform requirements into production-ready cloud solutions
Deploy enterprise applications from infrastructure setup through production release
Configure VPCs, subnets, load balancing, compute, hosting, data services, secrets, certificates, monitoring, security controls, and CI/CD automation
Support Tomcat, Java services, APIs, microservices, containers, and serverless workloads
Troubleshoot application, infrastructure, networking, and security issues
Design and deploy AWS-based AI-enabled applications and intelligent business platforms
Integrate applications with LLMs, model endpoints, AI services, enterprise APIs, and internal AI platforms
Implement secure AI invocation, prompt processing, response handling, audit logging, monitoring, guardrails, human oversight, and escalation patterns
Build AWS-native AI orchestration and agentic workflow patterns using Bedrock, Lambda, Step Functions, EventBridge, API Gateway, CloudWatch, Secrets Manager, IAM, and VPC Endpoints
Develop and maintain Infrastructure as Code and CI/CD pipelines
Automate environment provisioning, application deployment, configuration, and release management
Implement AWS security controls, IAM, encryption, secrets, certificates, private connectivity, governance, and compliance processes
Implement monitoring, logging, tracing, alerting, dashboards, and observability solutions
Perform root cause analysis and resolve complex production issues
Develop runbooks, operational procedures, monitoring standards, and support documentation
Support secure integrations with Workday, ServiceNow, Microsoft 365, SharePoint, vendor SaaS, enterprise AI, data, and reporting platforms
Lead technical design reviews, deployment reviews, code reviews, and operational readiness assessments
Provide technical guidance and mentor engineers across cloud-native development, AI deployment, observability, security, automation, and production support

Requirements

What you’ll need

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
Experience with 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
Experience building or deploying AI-enabled applications within AWS
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
Understanding of AI deployment patterns, 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 direct management authority
Strong communication skills for explaining complex technical topics to application teams, architects, risk partners, and senior stakeholders
Preferred: experience with Databricks, data pipelines, lakehouse solutions, enterprise data platforms, Java, Python, SQL, backend frameworks, containers, Kubernetes, Agent-to-Agent integration, enterprise AI orchestration, workflow-driven AI, Corporate Functions domains, or regulated industries
AWS Professional-level certifications strongly preferred
AWS AI/ML, Security, DevOps, or Architecture certifications preferred
Databricks certification is a plus

Benefits

Comp & perks

Retirement savings plan (401K) with company match
Basic life insurance
Medical insurance
Dental insurance
Vision insurance
Long-term disability insurance
Optional additional insurance coverages
Paid vacation leave
Paid sick leave
Short-term disability
Family care leave/responsibilities support
Employee Assistance Program
Annual performance-based incentive compensation
Certain tax-advantaged savings plans
Inclusive development opportunities
Flexible work-life support
Paid volunteer days
Employee networks