We are looking for a Cloud Solution Architect to lead cloud-native modernization of a hydraulic modeling platform on AWS, focusing on scalable execution, data integration, and automated scenario analysis. You will shape the end-to-end architecture and guide delivery alongside technical stakeholders.
Responsibilities
- Own end-to-end solution architecture for a cloud-native hydraulic modeling modernization workstream
- Design scalable model execution environments on Amazon EC2 with appropriate orchestration approaches
- Implement parallel model execution using AWS Batch and scalable compute capacity
- Build automated scenario triggering and workflow orchestration using AWS Step Functions
- Integrate event-driven automation where applicable using Amazon EventBridge
- Design data integration pipelines from Amazon Redshift curated layers into ISV simulation software
- Develop integration interfaces and APIs to connect simulation tools with the data platform
- Modernize legacy modeling workflows to improve automation, scalability, and throughput
- Define performance measurement and optimization approaches for model execution runtimes
- Align integration requirements with client technical leads and ISV partner teams
- Produce technical documentation and maintain compliance and delivery tracking artifacts
- Mentor consultants on cloud-native development, modernization patterns, and integration practices
Requirements
- 2+ years of experience in solution architecture for cloud modernization on Amazon Web Services
- Experience with Amazon EC2, including scalable execution environments
- Experience with AWS Batch for parallel processing and job orchestration
- Experience with AWS Step Functions to automate workflows and scenario pipelines
- Experience with Amazon Redshift, including integration from curated data layers
- Architecture ownership skills to drive end-to-end technical decisions and production-quality delivery
- Leadership and mentoring skills to coach consultants on modernization patterns and cloud-native integration
- Strong system design skills for resilient, scalable, and automated model execution platforms
- Strong communication skills to align requirements with client technical leads and partner teams
- Strong documentation skills for technical specifications, compliance tracking, and handoffs
- Upper-Intermediate English (B2) proficiency for daily collaboration and technical discussions
Nice to have
- AWS CloudFormation expertise for infrastructure as code
- AWS Cloud Development Kit (CDK) experience for infrastructure definition and automation
- Amazon EventBridge knowledge for event-driven workflow patterns
- Java proficiency for building integration services and APIs