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Vetted Distributed Systems Professionals
Pre-screened and vetted.
Nick Stoianov
Executive CTO & AI Systems Architect specializing in cloud platforms and RAG products
“Technology leader with experience owning enterprise roadmaps and executing large-scale platform standardization during rapid M&A—most notably driving a tech roadmap across a 37-company portfolio at Regent, tackling technical debt and security gaps via unified cloud-native architecture, IAM/logging, CI/CD, and a global SRE model. Previously scaled an Adobe engineering org from 8 to 40+ across four regions, implementing clear org design, KPIs, and an extreme-ownership culture to support 24/7 operations and enterprise needs.”
Neha Baadadmath
Executive Software Engineering Leader specializing in Trading, Payments, and FinTech platforms
“Entrepreneurially minded operator with experience in trading-platform environments who prototyped a vector-database layer to generate contextual incident narratives and reduce MTTR/escalations. Also building a non-tech venture: luxury wine distribution into India and broader Asian markets, sourcing directly from wineries with a Master of Wine and planning tier-1 launch via restaurant-owner connections while navigating complex import duties and licensing.”
Puyu Yang
Director-level Cloud/Platform Engineer specializing in Kubernetes, AI systems, and distributed infrastructure
“Cloud/platform engineering lead with deep Azure AKS and SRE/observability expertise who migrated an EY enterprise SaaS platform from monolith to cloud-native microservices, supporting 10+ products and ~$200M annual revenue with ~99.9% uptime. Also building an open-source Kubernetes-native AI agent orchestration platform (AgScale) in Go with CRDs/controllers, policy/tool governance, token budgets, and production-grade monitoring.”
Sakib Ahmed
Junior Software Engineer specializing in reliability and low-latency trading systems
“Financial systems engineer who built an automated rebalance-day order reporting and analytics tool on kdb+ pipelines, cutting a high-visibility manual process from 2–3 hours to ~2 minutes and expanding it from North America to EMEA/APAC. Also proposed an early production RAG-based incident knowledge assistant trained on ServiceNow postmortems, with guardrails to scope retrieval by application.”
Mid-Level Software Engineer specializing in recommendation and ranking systems
Senior Software Engineer specializing in cloud SaaS and distributed systems
Mid-level Software Engineer specializing in cloud and full-stack web development
Senior Software Engineer specializing in cloud storage and infrastructure
Senior Full-Stack Engineer specializing in Python, AI automation, and cloud microservices
Mid-level Software Engineer specializing in real-time streaming and analytics platforms
Mid-Level Software Engineer specializing in backend, distributed systems, and AI/ML platforms
Junior Data/Backend Engineer specializing in distributed systems and streaming pipelines
Mid-level Full-Stack Developer specializing in cloud-native data platforms
Mid-level Backend Software Engineer specializing in cloud infrastructure and AI-driven systems
Mid-level Backend Software Engineer specializing in distributed systems and reliability
Intern Software Engineer specializing in full-stack and cloud development
Mid-level Backend Software Engineer specializing in AWS microservices and distributed systems
Senior Software Engineer specializing in Cloud, DevOps, and Infrastructure as Code
Mid-Level Software Engineer specializing in cloud microservices and DevOps automation
Mid-level Software Engineer specializing in AI-driven systems and scalable backend services
Senior Software Engineer specializing in Cloud DevOps & Platform Engineering
Senior Software Engineer specializing in cloud-native distributed systems and AI/ML platforms