Senior Solution Architect Cloud & Data Platforms

MACHINE LEARNING TECHNOLOGIES LLC; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in San Francisco seeks a Senior Solution Architect to lead end-to-end architecture for high-traffic, customer-facing web apps. You will design scalable microservices using Node.js, REST APIs and GraphQL, and architect SPAs with React.js for optimized performance.

The role emphasizes secure, scalable cloud architectures on AWS, data modeling for high-volume OLTP with PostgreSQL, and guiding engineering teams in modern cloud-native practices.

Qualifications

• Lead end-to-end architecture for high-traffic, customer-facing web apps.
• Design scalable microservices with Node.js, REST APIs & GraphQL.
• Architect SPA using React.js with optimized client performance.
• Model relational/non-relational data for high-volume OLTP on PostgreSQL.
• Create architecture blueprints for layers, data flows, and deployment topology.

Responsibilities

• 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.

Skills

Cloud architecture

AWS

Node.js

React.js

GraphQL

REST APIs

PostgreSQL

System design

Security architecture

Leadership

Education

Bachelor's Degree in a related field

Tools

AWS

PostgreSQL

Redis

Memcached

Docker

Kubernetes

GraphQL

React.js

Node.js

CI/CD

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