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Vetted AWS IAM Professionals
Pre-screened and vetted.
Junior Full-Stack Engineer specializing in Python backends and AI search systems
Staff Software Engineer specializing in Python APIs and AWS-native data platforms
Mid-Level Software Engineer specializing in full-stack web development and cloud
Mid-Level Full-Stack Software Engineer specializing in cloud-native and data platforms
Mid-level Data Scientist / Software Engineer specializing in AI automation and cloud microservices
Junior Full-Stack Python Developer specializing in cloud-native web applications
Mid-Level Software Engineer specializing in cloud-native microservices and event-driven systems
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
Junior Software Engineer specializing in C++ systems and cloud-native platforms
Senior DevSecOps Engineer specializing in secure CI/CD and cloud compliance
Senior Backend/Infrastructure Engineer specializing in Python microservices and AWS
Senior Java Full-Stack Developer specializing in microservices and cloud (AWS)
Mid-level Data Engineer specializing in cloud data platforms and real-time pipelines
Senior DevSecOps Engineer specializing in AWS GovCloud, Kubernetes, and compliance automation
Senior Cloud & DevOps Engineer specializing in AWS, Azure, and GCP automation
Senior DevOps/Cloud Engineer specializing in AWS infrastructure and CI/CD automation
Swarag Reddy Pingili
Junior AI/ML Software Engineer specializing in LLM agents and RAG systems
“AI/back-end engineer at Canon who helped build and operate an internal production LLM platform that acts as a secure middle layer between users and models, defending against jailbreaks/prompt injection while enabling RAG, memory, and grounded responses over company data. Experienced with LangChain/LangGraph orchestration, vector DB retrieval, and reliability practices (testing, monitoring, adversarial prompts) to run high-throughput, low-latency AI workflows in production.”
Ridwan Oladipupo
Senior Frontend Engineer specializing in React, Node.js, and AWS
“Frontend engineer who led the Dash Merchant App and Backoffice platform (React/TypeScript/Redux) supporting $50M+ in monthly transactions. Focused on scalable architecture and reliability—introduced typed API layers, centralized error handling, and performance optimizations (including ~40% load-time reduction) while driving team adoption through incremental refactors, templates, and pairing.”
Rakesh Kumar
Mid-level Software Engineer specializing in cloud-native microservices, DevOps, and SRE
“Built and productionized an LLM-enhanced version of the WeDAA platform to auto-generate microservice architecture diagrams and support code generation from user prompts, including a practical solution for non-overlapping canvas object placement via coordinate templates. Experienced in diagnosing agentic workflow failures using AWS Strands agents with feature-flagged debug logging, and frequently supports sales through tailored demos and POCs to drive adoption.”