AWS HPC Migration & Cloud Architecture Consultant

Position Overview
We are seeking an experienced AWS High-Performance Computing (HPC) Migration & Cloud Architecture Consultant to support the assessment, design, migration, and optimization of computational workloads from on-premises environments to AWS.
This customer-facing role combines hands-on HPC and AWS expertise with architecture consulting, requirements discovery, cost governance, automation, and knowledge transfer. The consultant will help identify migration candidates, assess existing capabilities, design improvements, and support workload deployment in the customer’s target non-production AWS environment.
The consultant will also assess machine image pipelines and the Open OnDemand user portal, facilitate discovery and design for analytics and AI agent integrations, and provide acceptance and cutover support.

Key Responsibilities
Workload Discovery & Requirements

• Identify and assess on-premises computational workloads suitable for migration to the customer’s target AWS environment.
• Develop and maintain an inventory of agreed-upon migration candidates, referred to as “In-Scope Workloads.”
• Develop user personas and facilitate discovery workshops and technical deep-dive sessions.
• Document operational requirements, data workflows, data requirements, and technical requirements for the In-Scope Workloads.

AWS Architecture & Workload Deployment

• Review the initial baseline architecture for the customer’s target non-production AWS environment.
• Advise and assist with deployment of the In-Scope Workloads.
• Assess baseline deployments against AWS best practices and document recommendations.
• Assist the customer in implementing approved optimization and remediation recommendations.

Cost Governance & Automation

• Assess existing AWS cost governance capabilities, including tagging, cost allocation, anomaly detection, cost tracking, alerts, and reporting.
• Review existing automated notifications and cost management processes.
• Recommend improvements aligned with AWS best practices.
• Design improved mechanisms for automated cost tracking, notification, management, and reporting.
• Document cost tracking and reporting configurations.

Machine Image Pipeline & User Portal

• Review the design and deployment of the existing automated Amazon Machine Image (AMI) pipeline.
• Recommend improvements to image build, configuration, and deployment processes.
• Assess the configuration and deployment of Open OnDemand, the customer’s open-source HPC web portal.
• Recommend portal improvements and support integration with the AWS HPC environment, including authentication and user access requirements.
• Document portal integration and configuration.

Analytics & AI Integration

• Facilitate discovery sessions to identify analytics and AI agent integration opportunities that support the In-Scope Workloads.
• Document integration requirements and proposed designs.

Acceptance, Cutover & Knowledge Transfer

• Provide up to five business days of support to help troubleshoot and resolve issues during customer acceptance and cutover of the In-Scope Workloads.
• Prepare technical documentation and handoff materials.
• Conduct a Technical Exchange Workshop to transfer knowledge to the customer’s technical and operational teams.

Required Qualifications
HPC & Compute

• Hands-on experience migrating or operating HPC workloads on AWS using technologies such as AWS ParallelCluster, AWS Batch, and Amazon EC2 HPC instance families, including Hpc6a or Hpc7g.
• Experience with placement groups and Elastic Fabric Adapter (EFA) for low-latency networking.
• Experience with on-premises HPC environments and workload schedulers such as Slurm, PBS, LSF, or comparable platforms.
• Experience supporting MPI-based parallel workloads.
• Experience with HPC storage and data staging solutions, including Amazon FSx for Lustre, Amazon EFS, and Amazon S3.

User Portals & Machine Image Automation

• Working knowledge of Open OnDemand or comparable HPC web portals, including deployment, configuration, integration, and authentication.
• Experience automating AMI build and deployment pipelines using EC2 Image Builder, Packer, or equivalent tools.

AWS Cost Management & Governance

• Experience designing or assessing AWS tagging strategies and cost allocation practices.
• Hands-on familiarity with AWS Cost Explorer, AWS Budgets, and AWS Cost Anomaly Detection.
• Experience implementing cost alerts, reporting, and cost management automation.

Core AWS & Infrastructure Automation

• Strong knowledge of Amazon VPC, AWS IAM, Amazon EC2, Amazon S3, and Amazon CloudWatch.
• Experience with infrastructure as code using AWS CloudFormation, Terraform, or both.
• Experience applying the AWS Well-Architected Framework and conducting architecture design reviews.
• Proficiency in Python and Bash for infrastructure and workflow automation.

Consulting & Delivery

• Proven customer-facing consulting experience.
• Strong requirements gathering, technical discovery, and workshop facilitation skills.
• Ability to translate user and technical requirements into actionable architecture and implementation recommendations.
• Strong technical writing, documentation, presentation, and knowledge transfer skills.
• Ability to collaborate with customer stakeholders through assessment, deployment, remediation, and handoff.

Preferred Qualifications

• Experience designing or integrating analytics, AI/ML, or AI agent capabilities using Amazon Bedrock, Amazon SageMaker, or agent frameworks.
• Domain experience in research computing, scientific computing, genomics, financial risk modeling, computer-aided engineering (CAE), computational fluid dynamics (CFD), or similar HPC-intensive environments.
• Relevant AWS certifications, such as:
  • AWS Certified Solutions Architect – Associate or Professional
  • AWS Certified Advanced Networking – Specialty
  • AWS Certified DevOps Engineer – Professional
• Experience working in regulated environments, including financial services or the public sector, where applicable.
• Experience with container platforms and workflow orchestration tools such as Amazon EKS, Nextflow, or Cromwell.