Develop and maintain infrastructure using Terraform, implement AWS security measures, support tenant lifecycle management, and troubleshoot infrastructure issues to optimize performance and ensure compliance across multiple environments.

• Designs, architects, deploys and maintains cloud solutions • Maintains the integrity and security of systems • Maintains all documentations • Supports and develops automation • Develops in languages such as Bash, PowerShell, Python • Maintains/enhances knowledge of AWS cloud services • Monitors and tunes the cloud systems to achieve optimum performance levels • Works across teams and external customer groups to develop strategy, design solutions, and advise implementation teams during infrastructure buildouts • Deals with escalations. Makes assessments, recommendations, or provides solutions to resolve issues • Composes and maintains standard operating procedures and work instructions, knowledge articles, et al.

• Provide services for infrastructure provisioning, application deployment, and general IT support for Enterprise Services SIOP application suite • Participate in support, planning, definition of best practices, and collaborative meetings • Provisioning, installation/configuration, operation, and maintenance of systems hardware and software related to a Windows/Linux infrastructure in cloud (Azure & AWS) environments • Work with a small team on cloud projects and system support • Deliver practical solutions to complex problems • Design and support new and existing cloud applications infrastructure • Overseeing cloud operations and designing infrastructure for new workloads • Continuously improving and maturing cloud services • Provide IT systems administration in a heterogeneous RedHat Enterprise Linux and Microsoft Windows environment • Create and maintain system documentation, including best practices, procedures, and policies • Work effectively in a geographically distributed team environment

• Architect and implement serverless, event-driven, and containerized cloud applications using AWS services (e.g., Lambda, API Gateway, DynamoDB, Step Functions, S3, ECS/EKS) • Build robust, secure, and high-performance cloud-native solutions, leveraging both front-end (Angular, TypeScript) and back-end (Node.js, Java, RESTful APIs) technologies • Lead the design and integration of Generative AI workflows leveraging Amazon Bedrock, RAG pipelines, and knowledge-base-driven context engineering for intelligent, reliable, and extensible AI solutions • Develop and maintain internal frameworks, reusable modules, and developer platforms to enhance developer experience, maintainability, and cloud efficiency • Implement multi-tier architectures and RESTful microservices, integrating with upstream and downstream systems • Manage databases with Amazon RDS (MySQL/PostgreSQL), DynamoDB, and Aurora, including both SQL and NoSQL modeling • Design and maintain CI/CD pipelines and apply Infrastructure as Code (IaC) practices using Terraform and CloudFormation • Employ testing frameworks and backend testing tools to ensure code quality and reliability • Collaborate cross-functionally with product, design, and data science teams to bridge business goals with scalable cloud solutions • Champion accessibility-first design and inclusive engineering practices across products and internal tooling • Mentor engineers and influence architectural direction aligned with organizational growth and sustainability objectives • Implement logging, monitoring, and distributed tracing using AWS and third-party tools (e.g., CloudWatch, X-Ray, ELK stack) • Optimize application performance and ensure high availability through AWS scaling and caching mechanisms (Elastic Load Balancer, CloudFront)