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Vetted Amazon DynamoDB Professionals
Pre-screened and vetted.
Senior QA Automation Engineer specializing in web, mobile, and API testing
Staff Software Engineer specializing in commerce, checkout, and payments platforms
Intern Embedded/Systems Software Engineer specializing in firmware and RTOS
Senior Full-Stack Engineer specializing in AI, Web3, and scalable web platforms
Staff Full-Stack Engineer specializing in data engineering and real-time event platforms
Senior Full-Stack Engineer specializing in cloud, real-time data, and web platforms
Senior Software Engineer specializing in cloud platforms, healthcare imaging, and scalable APIs
Senior Software Engineer specializing in healthcare imaging and FinTech systems
Staff Full-Stack & Platform Engineer specializing in cloud-native distributed systems
Senior Software Engineer specializing in AI agents and cloud platforms
Senior Full-Stack Software Engineer specializing in Telehealth and FinTech
Senior Software Engineer specializing in FinTech payments and scalable platforms
Director-level Product-Led CTO specializing in AI/MarTech, retail media, and omnichannel platforms
Senior Machine Learning Engineer specializing in LLM inference and GPU infrastructure
Director-level Software Development Manager specializing in AWS infrastructure and distributed systems
Staff Software Engineer specializing in Healthcare SaaS and real-time systems
Mid-Level Software Development Engineer specializing in AWS serverless and ML/GenAI
Senior Full-Stack Software Engineer specializing in large-scale streaming platforms
Mid-level Solutions Engineer specializing in ads platforms and ML-driven marketing systems
Director-level Software Development Manager specializing in large-scale cloud platforms
Manaswini Gogineni
Mid-Level Software Engineer specializing in cloud infrastructure and full-stack web development
“Backend engineer at Electric Hydrogen who built a serverless device-log ingestion and processing platform in Python/Flask, scaling throughput (4x peak ingestion) while keeping sub-300ms API latency. Strong in Postgres/SQLAlchemy performance (partitioning, materialized views) and production ML integration (ONNX model served via FastAPI microservice with async batch inference, Redis feature caching, and drift monitoring via S3/Lambda). Experienced designing secure multi-tenant systems with schema-per-tenant isolation and KMS-backed encryption.”
Qianfan Luo
Junior Software Engineer specializing in backend systems and AI/ML pipelines
“Robotics-focused engineer with ROS 2 experience who has built and debugged real-time, distributed control/orchestration systems under production-like latency and safety constraints. Led platform changes at Persona for a real-time verification orchestration system using deterministic state machines and async workers, and has hands-on experience stabilizing multi-robot navigation/SLAM behavior using rosbag, RViz, and stress testing in simulation (Gazebo).”
Jolie Qiu
Mid-Level Software Engineer specializing in AWS data infrastructure and pipeline automation
“AWS-focused software engineer who built a self-serve ETL pipeline scheduling service for non-engineers, including automated CloudFormation-based onboarding that cut setup time from 2–3 weeks to ~5 minutes. Strong in production reliability and customer-facing data platforms (EMR/DynamoDB/Lambda), with examples spanning pagination at scale, cross-table consistency, and phased rollouts to improve Parquet log SLAs.”