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Corporate Treasury, Senior AWS Architect, Payments Platform, Dallas, VP

Goldman Sachs
Posted 3 months ago, valid for 22 days
Location

Dallas, TX 75320, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Goldman Sachs is seeking an AI Engineer with 5+ years of experience to join their Liquidity Risk technology team.
  • The role involves designing, building, and deploying AI-driven solutions for liquidity risk monitoring and stress testing.
  • Candidates should have hands-on experience with LLM models, AWS Bed Rock, and proficiency in Python and ML/AI libraries like PyTorch.
  • The position offers an opportunity to work at the intersection of AI, engineering, and liquidity risk on a global scale.
  • While the salary is not specified, the role promises a high-impact position with ongoing learning and career progression.
Role Summary

The Senior AWS Platform Architect will lead the architectural transformation of legacy payment systems (e.g., ACH, Wire, RTP) into a cloud-native ecosystem. You will be responsible for the end-to-end migration journey—from initial discovery and dependency mapping to the implementation of event-driven architectures on AWS. Your primary objective is to modernize monolithic payment engines into resilient microservices while maintaining strict compliance with PCI DSS, ISO 20022, and regional financial regulations.

Key Responsibilities Cloud Migration & Modernization Strategy
  • Migration Execution: Lead the "7Rs" migration strategy (specifically Refactoring and Replatforming) to move legacy Jave and C# based payment apps to AWS.
  • Strangler Fig Implementation: Gradually decompose monolithic payment systems into microservices using Amazon API Gateway and AWS Lambda to ensure zero-downtime transitions.
  • Database Transformation: Migrate legacy relational databases (e.g., Oracle, SQL Server) to cloud-native alternatives like Amazon Aurora or DynamoDB using AWS Database Migration Service (DMS).
  • Infrastructure as Code (IaC): Standardize environment provisioning using Terraform or AWS CDK to ensure consistent, auditable deployments across multi-region environments.
Payments Engineering & Compliance
  • High-Availability Architecture: Design multi-region, active-active architectures to meet stringent SLAs for real-time payment processing and disaster recovery.
  • Security & Compliance: Implement "Security-by-Design" using AWS KMS for field-level encryption, AWS PrivateLink for secure third-party integrations, and AWS Artifact for PCI DSS compliance reporting.
  • Event-Driven Processing: Utilize Amazon MSK (Kafka) or Amazon SQS/SNS to handle high-volume transaction streams and asynchronous settlement workflows.
  • API Excellence: Develop and maintain robust RESTful APIs that integrate with modern front-ends (React) and external financial networks.
AI-Augmented Engineering
  • AI-Driven Refactoring: Leverage Amazon Bedrock and GitHub Copilot to accelerate the translation of legacy business logic into modern, cloud-optimized code.
  • Intelligent Observability: Implement full-stack monitoring via Amazon CloudWatch and AWS X-Ray, using AI-driven insights to detect transaction anomalies and potential fraud in real-time.
  • Automated Testing: Design AI-powered testing suites to simulate complex payment edge cases and ensure regression-free migrations.
Required Skills & Experience Technical Foundations
  • Experience: 10+ years in financial services engineering, with a proven track record of migrating large-scale transaction systems to the cloud.
  • AWS Expertise: Deep hands-on experience with EC2, EKS, Lambda, S3, and RDS.
  • Payment Domain: Expert knowledge of payment rails (ACH, SWIFT, SEPA), messaging standards (ISO 20022), and clearing/settlement processes.
  • Security: Strong understanding of encryption, tokenization, and PCI DSS requirements.
Modern Tooling & Methodology
  • IaC & CI/CD: Expert-level proficiency in Terraform and automated deployment pipelines (GitHub Actions, AWS CodePipeline).
  • Data Integration: Experience with ETL platform migrations and data synchronization during hybrid-cloud phases.
  • Agile Leadership: Ability to lead cross-functional squads in high-velocity, regulated environments.
Preferred Qualifications
  • AWS Certified Solutions Architect – Professional
  • AWS Certified Security – Specialty
  • Experience with Agentic Commerce: Familiarity with emerging protocols for autonomous AI-driven payments.
 


 




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