About this opportunity
MACHINE LEARNING TECHNOLOGIES LLC lists this Senior Solution Architect Cloud & Data Platforms opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Job Description
Job Overview
Job ID: J53046
Job Title: Senior Solution Architect Cloud & Data Platforms
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
Summary
Architecture & Solution Design
Lead endtoend architecture for hightraffic, 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
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.