.png){kind=logo}
Vetted JUnit Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in AI-native backend platforms for Healthcare and FinTech
Senior DevSecOps Engineer specializing in multi-cloud CI/CD and federal compliance
Senior Full-Stack Engineer specializing in scalable platforms across insurance, media, and finance
Intern Software Engineer specializing in AI/ML and LLM retrieval systems
Mid-Level Backend Software Engineer specializing in FinTech and cloud-native platforms
Staff Full-Stack Software Engineer specializing in scalable web platforms and cloud infrastructure
Mid-level Full-Stack/Backend Software Engineer specializing in distributed systems and cloud
Mid-level Full-Stack Software Engineer specializing in distributed systems and GenAI platforms
Senior Full-Stack Engineer specializing in telehealth and commerce platforms
Junior Software Engineer specializing in distributed systems and streaming platforms
Mid-Level Full-Stack Software Engineer specializing in cloud-native systems and FinTech
Senior Software Engineer specializing in AWS distributed systems and developer tools
Mid-level Software Engineer specializing in backend systems, billing, and real-time data pipelines
Mid-level Software Engineer specializing in distributed systems and payments
Senior Software Engineer specializing in generative AI and real-time platforms
Director-level Engineering Leader specializing in SaaS platforms, cloud architecture, and SRE
Vatsal Gabani
Mid Software Engineer specializing in backend systems and AI-enabled platforms
“Full-stack engineer with hands-on ownership of a support ticket intelligence platform, spanning React/TypeScript frontend work and backend API, PostgreSQL, Redis, and Docker-based deployment. They stand out for driving practical architecture and performance improvements in production, including moving heavy processing async and cutting response times from about 300ms to 150ms while improving reliability.”
Vigynesh Bhatt
Mid-level Software Engineer specializing in backend, cloud, and ML systems
“Software engineer with experience across Goldman Sachs, BYU Broadcasting, Juniper Networks, and an edtech startup (Doubtnut), spanning data migrations, AWS-based media backends, and microservices observability. Built a Redis/ElastiCache caching layer in front of DynamoDB/S3 to improve media delivery latency and cost, and created an SEO indexing automation tool using the Google Search Console API that saved ~15–30 person-hours per day.”
Dimple Joseph
Director of Engineering specializing in cloud-native SaaS, e-commerce search, and AI personalization
“Engineering leader (12+ years Director, 17 years lead) focused on developer productivity and platform/framework work across Oracle, PlayStation, Workday, and CafePress. Notable for building distributed teams from scratch and delivering high-impact platform architecture—e.g., re-architected PlayStation’s upload pipeline to support 500GB–5TB submissions using browser-to-AWS chunked uploads with SNS/SQS and deduplication/resume support.”
Yashvi Shah
Mid-Level Software Engineer specializing in distributed systems and cloud platforms
“Amazon Alexa engineer who architected and shipped a GenAI Knowledge Agent used by 2M+ customers, focused on making LLM outputs auditable via citations and a verification layer that prevents hallucinations. Built the full vertical slice (FastAPI/LangChain backend + React/TypeScript streaming UI) while keeping p99 latency under 200ms, and has proven incident response experience on AWS (Lambda/DynamoDB scaling issues).”