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Vetted Amazon S3 Professionals
Pre-screened and vetted.
Mid-level Data Engineer specializing in cloud data pipelines and streaming analytics
Mid-Level Software Engineer specializing in full-stack development and cloud platforms
Mid-level Backend Engineer specializing in cloud-native microservices and FinTech systems
Senior Backend Python Engineer specializing in cloud-native APIs and data platforms
Mid-level Machine Learning Engineer specializing in healthcare and enterprise analytics
Senior Business Analyst / QA Lead specializing in cloud, security, and enterprise testing
Senior QA Engineer specializing in test automation for web, API, mobile, and cloud platforms
Mid-level Data Engineer specializing in AWS data platforms and streaming pipelines
Mid-level Full-Stack Software Engineer specializing in cloud backends and applied AI
Senior Full-Stack Engineer specializing in Python and AWS-native application development
Mid-level Software Engineer specializing in FinTech and scalable backend systems
Mid-level AI/ML Engineer specializing in financial risk, NLP, and MLOps
Director-level Mobile & Full-Stack Software Engineer specializing in Android and cloud-native apps
Mid-level QA Automation Engineer specializing in healthcare test automation and DevOps
Senior Data Engineer specializing in AWS-based data pipelines and multi-tenant SaaS
Mid-Level Full-Stack Java Developer specializing in Spring Boot, React, and AWS
Executive Engineering Leader specializing in Product, Mobile, and SaaS platforms
Senior Full-Stack Java Developer specializing in AWS cloud and microservices
Misha Barabanov
Senior XR/VR Developer specializing in Unity multiplayer MR and technical art
“Unity/Meta Quest programmer with 2 years of experience shipping two award-winning VR games (Spatial Ops and Twenty Guys) now live on the Meta Store with 4.8+ ratings. Contributed major gameplay/tech systems including co-location, an in-game map editor, and active ragdoll/physics interactions, and has also built Unity apps largely solo spanning rendering, shaders, serialization, VFX, and async/state management.”
Sravani Gangaraju
Mid-level AI/ML Engineer specializing in NLP, computer vision, and recommender systems
“Built and deployed a production NLP sentiment analysis system at Piper Sandler to turn noisy, finance-specific customer feedback into scalable insights. Demonstrates strong end-to-end MLOps: fine-tuning BERT, improving label quality, monitoring for language drift, and automating retraining/deployment with Airflow and Docker (plus Kubeflow exposure).”