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Vetted Amazon Kinesis Professionals
Pre-screened and vetted.
Staff Software Engineer specializing in real-time data pipelines and full-stack platforms
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
Executive Platform & Infrastructure Engineering Leader specializing in FinTech SaaS, Cloud, Data & AI
Mid-level Data Engineer specializing in AI/ML and cloud data platforms
Staff Software Engineer specializing in cloud-native AI and supply chain platforms
Mid-level AI/ML Engineer specializing in Generative AI agents and FinTech risk systems
Staff Software Engineer specializing in streaming platforms and AI-driven experiences
Mid-level Full-Stack Developer specializing in cloud-native microservices
Senior Full-Stack Engineer specializing in cloud-native platforms and distributed systems
Mid-level Software Engineer specializing in real-time backend systems and FinTech payments
Mid-level Machine Learning Engineer specializing in real-time recommender systems and MLOps
Senior Software Engineer specializing in cloud platforms, data pipelines, and ML
Akhil Maram
Senior Data Engineer specializing in real-time data platforms and lakehouse architectures
“Senior, product-focused engineer who has built real-time customer-facing web applications and a microservices backend (TypeScript/React/Node) using RabbitMQ, MongoDB, and Redis. Demonstrates strong operational maturity (idempotency, tracing/observability, backpressure) and built an internal console that became the primary tool for debugging, replaying jobs, and managing system behavior.”
Jeffery Faneuff
Executive Engineering Leader specializing in AI-driven SaaS and IoT platforms
“Engineering leader who built and delivered an IoT smart-spaces platform for the self-storage and smart-living domains, translating customer requirements into architecture, capability maps, and a multi-milestone roadmap. Personally stood up missing AI/ML capabilities (including churn prediction) using Databricks (Delta Lake/MLflow), enabling follow-on features like energy optimization and security/anomaly detection. Scaled an org from 20 to 80+ with disciplined Agile planning (Jira Advanced Roadmaps/Confluence) and strong executive/customer-facing leadership during high-stakes customer commitments.”
VP Software Engineering Manager specializing in full-stack platforms, data, and AI in FinTech
Junior Software Development Engineer specializing in AWS IAM policy verification
Senior Software Engineer specializing in ML, search, and AI-powered backend systems
Senior Software Engineer specializing in cloud microservices, payments, and analytics
Senior Software Engineer specializing in cloud-native distributed systems