Senior Solution Architect Cloud & Data Platforms

Senior Solution Architect Cloud & Data Platforms Job ID: J53046 Location: San Francisco, CA Duration: 24 Months + Extension Hourly Rate: Depending on Experience (DOE) Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD Client: To Be Discussed Later Employment Type: W-2, 1099, C2C Architecture & Solution Design Lead end-to-end architecture for high-traffic, customer-facing web applications. Design scalable microservices-based and event-driven architectures using Node.js, REST APIs, and GraphQL. Architect single-page applications (SPA) using React.js, modular component design, and optimized client-side performance. Define relational and non-relational data models optimized for high-volume OLTP transactions on PostgreSQL. Create architecture blueprints covering application layers, data flows, integration, observability, and deployment topology. Cloud Architecture on AWS Design distributed, fault-tolerant, and secure solutions using key AWS services: VPC, Subnets, NACLs, Security Groups for network isolation ALB/NLB, Auto Scaling, ECS/EKS, Lambda for compute RDS PostgreSQL, Aurora, ElastiCache for data API Gateway, CloudFront, S3 for global-scale delivery Ensure reliability, scalability, and high availability for systems processing large transaction volumes. Review and optimize cloud costs, architecture fitness, and performance. Application Performance & Scalability Design solutions with builtin load balancing, auto-scaling, queueing, caching, and failover patterns. Architect for low latency, high throughput, and predictable system behavior under peak load. Ensure appropriate use of CDN, caching layers (Redis/Memcached), and async processing. Security & Compliance Own the security architecture across application, data, and network layers: IAM design & RBAC JWT/OAuth2 authentication Data encryption in transit & rest Secure VPC patterns Work with InfoSec teams on threat modeling, vulnerability resolution, and cloud security posture. Technical Leadership Guide engineering teams on architecture patterns, design reviews, best practices, and code quality. Collaborate with product owners, UX, DevOps, and QA to ensure cohesive delivery. Mentor developers and junior architects; evangelize modern engineering and cloud-native principles. Equal Opportunity Employer MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract. #J-18808-Ljbffr