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Vetted Backend Engineers in the Los Angeles Metro
Pre-screened and vetted in the Los Angeles Metro.
Senior Full-Stack Engineer specializing in scalable cloud platforms and AI integrations
Mid-level Software Engineer specializing in distributed systems for Healthcare and E-commerce
Senior Full-Stack .NET Engineer specializing in cloud-native web applications
Vaibhav Monpara
Mid-Level Full-Stack/Backend Engineer specializing in AWS, APIs, and GenAI systems
“Backend engineer who built the core backend for Air Kitchens’ discovery/booking platform on AWS (Node + Python, DynamoDB, SQS/Lambda), optimizing for fast user-facing APIs and scalable async workflows. Introduced an AI matching service with a deterministic pre-filter + LLM ranking approach to balance latency vs quality, and has hands-on experience with production security (JWT/RBAC/RLS), CI/CD, and blue-green, staged migrations from Django to modular services.”
Senior Full-Stack Engineer specializing in AI-driven SaaS platforms
Eris Verne
Senior Full-Stack Engineer specializing in serverless AWS and IoT products
“Founding engineer with strong end-to-end product delivery across IoT + mobile + serverless cloud: built firmware for a Bluetooth-connected device (ESP32), a native Swift iOS app, and an AWS serverless backend (API Gateway/Lambda/SQS/SNS/DynamoDB) including payments via Stripe. Also shipped a separate startup product in 6 months: a React visual tool that generated HTTP/REST APIs with a Django backend, admin panel, and a code-generating CLI.”
Senior Full-Stack Engineer specializing in serverless AWS and IoT products
luis gonzalez
Junior Backend/Platform Engineer specializing in cloud-native APIs and data systems
“Startup-style full-stack/backend engineer with hands-on AWS architecture experience who shipped an LLM-driven assessment-question automation feature (Python microservice calling AWS Bedrock via SQS, deployed on Lambda) with strong validation/guardrails and retry strategies. Also improved production scalability by moving a CPU/IO-heavy file upload path out of a Go API into a queue/Lambda design monitored with CloudWatch, and has React+TypeScript experience optimizing analytics dashboards.”