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Vetted Amazon SNS Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in cloud-native distributed systems and AI/ML platforms
Mid-level Data Engineer specializing in real-time streaming and ML feature pipelines
Mid-level AI/ML Engineer specializing in NLP, Computer Vision, and Generative AI
Mid-Level Software Engineer specializing in Cloud-Native Platforms on AWS and Kubernetes
Senior Full-Stack Engineer specializing in event-driven systems for FinTech and Healthcare
Senior Full-Stack Software Engineer specializing in Healthcare IT and cloud-native systems
Mid-level Full-Stack Python Developer specializing in APIs, microservices, and cloud deployments
Senior Software Engineer specializing in Healthcare IT and cloud-native microservices
Junior Software Engineer specializing in data engineering and machine learning
Principal Full-Stack Engineer specializing in AI platforms and enterprise systems
Senior Full-Stack Engineer specializing in cloud-native SaaS platforms
Junior Software Engineer specializing in full-stack, cloud, and AI systems
Mid-level Software Engineer specializing in cloud API authorization and distributed backend systems
Mid-Level Software Engineer specializing in cloud-native distributed systems
Mid-level Data Engineer specializing in real-time streaming and cloud data platforms
Senior Site Reliability Engineer specializing in multi-cloud, Kubernetes, and observability
Senior Data Engineer specializing in cloud data platforms and big data pipelines
Chris Michaelson
Executive Engineering Leader specializing in cloud, DevSecOps, and large-scale platform modernization
“Co-founded a Digital Loss Prevention (DLP) startup and raised $6M in seed funding by showcasing a controlled, laptop-based technology demo. Post-funding, drove MVP planning and execution by sequencing operations and assembling a team to build an appliance MVP, using an iterative build/evaluate/visualize approach.”
Varshith Dupati
Mid-level Software Engineer specializing in AWS, full-stack development, and AI data systems
“Backend engineer who built a Python-based data profiling/statistics platform processing up to 50M rows and ~300 metrics, using a DAG execution model, multithreading, and smart caching to cut processing time by up to 70%. Also improved PostgreSQL query performance from 12s to 2s via indexing/query rewrites, integrated an LLM (LangChain + OpenAI) for explainable “chat with the pipeline” functionality, and designed an AWS EC2+SQS architecture for scalable, isolated per-user processing.”