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Vetted Cloud-Native Architecture Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and recommendation systems
Senior Backend Engineer specializing in FinTech and cloud-native microservices
Mid-level Backend/Full-Stack Software Engineer specializing in cloud-native microservices and APIs
Senior Software Engineer specializing in Python, AWS, and cloud-native backend systems
Executive technology leader specializing in SaaS, cybersecurity, and healthcare IT
Senior Solution Architect and Engineering Manager specializing in government, FinTech, and cloud platforms
Director of Compiler Engineering specializing in AI/ML compilers and data platforms
Executive technology leader specializing in credit cards and financial platforms
Executive financial technology leader specializing in AI, payments, and capital markets
Mid-level Software Engineer specializing in cloud-native microservices and full-stack systems
Executive Engineering Leader specializing in digital transformation and cloud-native platforms
Executive Platform & Architecture Leader specializing in cloud transformation and enterprise engineering
Junior Cloud & Full-Stack Engineer specializing in AWS and Kubernetes automation
Director of Product specializing in AI-powered data platforms for connected vehicles and MLOps
Senior Software Engineer specializing in cloud-native healthcare and financial services
Executive Platform & Cloud Technology Leader specializing in FinTech and AI-enabled platforms
Mid-level Software Engineer specializing in scalable backend and cloud-native systems
Executive Technology Leader (CTO/SVP) specializing in AI-native SaaS and platform modernization
Adam Tichelaar
Executive Technology Leader (CTO) specializing in digital products, cloud platforms, and AI/ML
“IoT/connected-device and SaaS product builder with deep connected health/telehealth experience, including patient care delivery and remote patient monitoring. In their current org, they expanded a nutrition product business by prototyping and piloting a digital pre/post-surgical coaching care-delivery service with real providers/clinics/patients, then building an MVP and taking it to market.”
Vignesh Shanmugasundaram
Junior Software Engineer specializing in full-stack development and applied ML
“Full-stack engineer with experience at Zoho and Amazon who has owned production systems end-to-end, including a monolith-to-microservices migration using Kafka and Cassandra that improved search latency ~25% and increased throughput without data loss. Also built a hackathon project (Buildwise) into a sold product for a construction company (AI-driven document compliance checks) and shipped an IoT-based parking availability MVP in 3 weeks.”
Prateek C
Mid-Level Full-Stack Software Engineer specializing in Java/Spring, React, and AWS
“Backend/full-stack engineer (5+ years) with Shopify experience integrating LLM/RAG workflows into production APIs. Owned a Python TensorFlow Serving inference pipeline connected to Java microservices via gRPC, optimizing tail latency at ~10k concurrent load and improving retrieval relevance with embedding and evaluation work. Strong Kubernetes/EKS + GitOps/CI/CD background, including monolith-to-microservices migrations and event-driven streaming patterns.”
Joseph Coleman
Executive Technology Leader specializing in cloud-native platforms and AI
“Building a confidential startup in the software security space (no capital raised yet). Has been learning the VC/accelerator landscape through a network of founders and independent research, with a focus on investor readiness and relationship-driven access to VCs. Motivated to found due to repeated layoffs and late-stage hiring pauses, seeking more control while prioritizing family financial stability.”