<h2>Qualifications</h2>
<ul>
<li>Minimum 10 years of progressive experience in cloud architecture, application development, or related technical disciplines</li>
<li>Minimum 7 years of hands-on experience designing, deploying, and operating workloads on AWS in enterprise environments</li>
<li>Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience</li>
<li>Demonstrated real-world experience modernizing enterprise applications, including replatforming to containers, re-architecting to cloud-native patterns, and leading clients through the organizational dimensions of transformation</li>
<li>Deep expertise in AWS application and platform services: EKS, ECS, Fargate, Lambda, API Gateway, Step Functions, EventBridge, Elastic Beanstalk, and related ecosystem services</li>
<li>Expert-level knowledge of CI/CD pipeline development using Infrastructure as Code (CloudFormation, CDK, Terraform) and modern DevOps tooling (CodePipeline, GitHub Actions, AWS CodeBuild)</li>
<li>Proven ability to develop and articulate modernization business cases, connecting technical architecture decisions to client outcomes and financial impact</li>
<li>Experience authoring SOWs, LOEs, reference architectures, and delivery playbooks that technical teams can execute from</li>
<li>Strong communication skills, able to present architecture concepts to executive audiences and technical depth to delivery teams with equal effectiveness</li>
<li> </li>
</ul>
<p><strong>Strongly Desired Skills</strong></p>
<ul>
<li>AWS Certified Solutions Architect: Professional (strongly preferred)</li>
<li>AWS Certified DevOps Engineer: Professional</li>
</ul>
<h2>Technical Depth</h2>
<ul>
<li>Cloud-native application architecture and development patterns (.NET Core, Java, Node.js in containerized or serverless environments)</li>
<li>Container platforms and Kubernetes orchestration at scale (EKS, Fargate, ECR, service mesh patterns)</li>
<li>Cloud data and AI platform