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Vetted Amazon SQS Professionals
Pre-screened and vetted.
Senior Full-Stack Engineer specializing in AI/GenAI and cloud-native platforms
Mid-level Full-Stack Python Developer specializing in cloud-native platforms and payments
Mid-level Software Engineer specializing in real-time backend systems and FinTech payments
Mid-level Backend/Distributed Systems Engineer specializing in AWS serverless architectures
Senior Software Engineer specializing in cloud platforms for healthcare and e-commerce
Mid-level Software Engineer specializing in FinTech backend systems
Principal AI Infrastructure Engineer specializing in distributed systems and streaming platforms
Staff Software Engineer specializing in distributed payments and streaming systems
Senior Software Engineer specializing in AI-powered healthcare and distributed systems
Mujahid Shaik
Mid-level Full-Stack Software Engineer specializing in scalable FinTech and analytics platforms
“Senior full-stack engineer with 5 years of experience across Bank of America, AT&T, and NextAI/XAI, building cloud-native, high-availability products spanning React, Node, Java, Kotlin, Python, and AWS. Particularly compelling for teams needing someone who can own architecture, implementation, DevOps, and UX polish end-to-end—from a real-time loan eligibility platform handling 50,000+ daily requests to live event dashboards that improved operations and helped drive $250K in ARR.”
Arif Shaikh
Executive engineering leader specializing in AI-native platforms and distributed systems
“Engineering leader and hands-on architect from Sony Pictures Entertainment who has led large-scale platform modernization, digital supply chain delivery, and multiple GenAI/RAG initiatives in media and rights-management domains. Notable for combining people leadership with deep AWS/LLM architecture work, including a 1M+ record GenAI title search system and AI-driven contract insights that reportedly helped unlock a 20% revenue increase.”
Christopher Chu
Senior Backend Engineer specializing in distributed systems and cloud microservices
“Backend/data engineer with experience at Nike building high-volume order orchestration and validation APIs using FastAPI microservices on AWS EKS with Kafka, Redis, and Postgres. Strong in production reliability (timeouts/retries/idempotency), GitOps (Argo CD) + Terraform deployments, and data pipelines (AWS Glue/S3), with hands-on incident ownership and legacy modernization into API-driven services.”
Jun Ouyang
Principal Software Engineer / Tech Lead specializing in distributed systems, payments, and reliability
“Backend engineer with DoorDash experience building production-critical systems spanning LLM-based real-time safety moderation (SendBird callbacks + ChatGPT risk scoring with automated actions) and large-scale payments data pipelines (Kafka to CockroachDB with aggregation APIs). Also led cross-team reliability work to standardize SLOs and drove an incident redesign from batch pull to real-time push callbacks to eliminate critical-event latency.”
VP Software Engineering Manager specializing in full-stack platforms, data, and AI in FinTech
Senior Full-Stack Engineer specializing in real-time collaboration SaaS
Senior Software Engineer specializing in SaaS, AR/VR, and full-stack platforms
Senior Full-Stack Software Engineer specializing in scalable web and mobile applications
Senior Full-Stack Engineer specializing in AI-powered SaaS and cloud-native analytics
Staff Software Engineer specializing in FinTech platforms and distributed systems
Senior Software Engineer specializing in Python, APIs, and cloud-native integrations
Senior Software Engineer specializing in cloud-native healthcare platforms