Amazon Web Service (SME)

Job Title: AWS Subject Matter Expert (SME) Location: Remote / Eagan, MN Duration : 12+months Description • Chosen resource must demonstrate through actual work experience (not merely training): • Research, analyze, and evaluate existing and proposed business systems and procedures, develop requirements, and identify AWS cloud-centric system solutions in detailed measurable terms that achieve optimum performance and cost effectiveness. • Knowledge of Industry developments, business information systems and practices. • Development methods, procedures, standards, techniques. • Agile application life cycle, test-driven development, continuous integration of code. • Current cloud technologies—particularly AWS Cloud. • Experience leading the design, development, and deployment of performant AWS cloud business software at scale or hands-on technology infrastructure (network, compute, storage, virtualization). • Ability to integrate AWS cloud services with other SaaS or on-premise technologies from leading vendors (Microsoft, IBM, Oracle, HP, Linux, SAP, etc.). • Experience with IT compliance and risk management requirements in regulated environments (SOX, PCI) for cloud applications, especially on AWS. • Ability to automate complex tasks (AWS) using scripting/coding skills or automation tools such as: Shell, Python, Ruby, PowerShell, Ansible, Terraform, Cloud Formation, Chef, Puppet. • Knowledge of enterprise-wide architecture, including: • Cloud services, servers and storage, virtualization, high availability, performance analysis, enterprise infrastructure monitoring for highly available, web-scale systems. Proficiency in: • Generative AI and prompt engineering. • Design patterns for building scalable, maintainable applications. • Documenting code, models, technical solutions. • Continuous learning and adaptability in large IT organizations. • Explaining complex technical concepts to technical and executive stakeholders. • Troubleshooting in large-scale enterprise ecosystems. • CI/CD, containerization, and deployment strategies for Kafka components in production. • Querying/managing data in SQL and NoSQL databases. • Creating technical diagrams (Microsoft Visio, Draw.io). • Producing technical design and architecture documents (Microsoft Word). • Preparing presentations (Microsoft PowerPoint). • Creating data visualizations (Excel, Power BI).