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Vetted Amazon SQS Professionals
Pre-screened and vetted.
Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms
Mid-level Software Engineer specializing in Python, ML/LLM systems, and scalable microservices
Junior Software Development Engineer specializing in AWS cloud and distributed systems
Senior Full-Stack Developer specializing in real-time, cloud-native web and mobile apps
Intern Software Engineer specializing in data engineering and LLM evaluation
Senior Full-Stack Engineer specializing in Ads and FinTech platforms
Staff Full-Stack & AI Engineer specializing in LLM platforms and scalable cloud systems
Senior Full-Stack Engineer specializing in scalable web, cloud, and engagement systems
Senior Full-Stack Engineer specializing in scalable cloud platforms and AI integrations
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
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.”
Senior Full-Stack Engineer specializing in real-time collaboration SaaS
Senior Full-Stack Software Engineer specializing in scalable web and mobile applications