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Vetted Site Reliability Engineering Professionals
Pre-screened and vetted.
Senior DevOps & Site Reliability Engineer specializing in cloud infrastructure and CI/CD automation
Senior DevOps & Site Reliability Engineer specializing in multi-cloud platforms and security
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and AI
Mid-level Robotics/Systems Software Engineer specializing in real-time distributed systems
Executive Technology Leader (CTO) specializing in scalable platforms, FinTech, and AI/LLM systems
Executive Engineering Leader specializing in AI, SaaS, and platform modernization
Mid-level Software Engineer specializing in search systems and full-stack web development
Senior DevOps/SRE Engineer specializing in multi-cloud Kubernetes and DevSecOps
Executive Technology Leader specializing in regulated SaaS and trading platform architecture
Senior Backend/Platform Engineer specializing in high-throughput services and cloud infrastructure
Executive AI Strategy & Engineering Leader specializing in Generative AI and cloud platforms
Senior Software Developer specializing in cloud-native microservices and GenAI/ML
Senior Backend Developer specializing in AWS-native Python systems and data workflows
Senior Software Quality Engineer specializing in service reliability for Xbox/Azure live services
Mid-level Cloud & DevOps Engineer specializing in AWS/Azure and Kubernetes
Senior Site Reliability Engineer specializing in infrastructure automation and production systems
Director of Engineering specializing in AI/ML products, cloud modernization, and compliance
Executive CTO and SaaS Platform Architect specializing in scalable data systems
Mid-level DevOps Engineer specializing in AWS, Kubernetes, and regulated healthcare platforms
Staff Infrastructure Engineer specializing in security, compliance, and distributed AI systems
Ruchi Desai
Senior Backend Engineer specializing in cloud-native .NET microservices
“Healthcare-focused full-stack engineer who has spent their career in small startup-like teams, owning products end-to-end from business requirements to architecture, implementation, deployment, and support. They’ve built critical hospital-facing systems including patient intake, insurance eligibility, appointment search at scale, and configurable multi-tenant admin platforms using React, Node.js, .NET, AWS, MySQL, and Elasticsearch.”
Shamala Chandrappa
Mid-level AI Engineer specializing in agentic AI, LLM systems, and healthcare AI
“Healthcare-focused ML/AI engineer who has built production voice agents and clinical question-answering systems end-to-end, from experimentation through deployment, observability, and iteration. Particularly strong in making LLM systems reliable in real workflows via RAG, fine-tuning, guardrails, evaluation pipelines, and shared Python tooling; cites ~20% clinical QA accuracy gains and ~40% faster physician decision turnaround.”