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Vetted Observability Professionals
Pre-screened and vetted.
Mid-level Full-Stack Software Engineer specializing in distributed systems and GenAI platforms
Mid-level Full-Stack Engineer specializing in AI platforms and FinTech
Principal Software Engineer specializing in cybersecurity distributed systems
Senior Backend Engineer specializing in Healthcare & Cloud Platforms
Senior DevSecOps Engineer specializing in secure cloud CI/CD and compliance automation
Mid-level Data Engineer specializing in big data platforms and analytics infrastructure
Executive product delivery leader specializing in cloud and financial platforms
Senior Software Engineer specializing in backend distributed systems and FinTech
Mid-level Software Engineer specializing in distributed systems and payments
Senior Software Engineer specializing in generative AI and real-time platforms
Senior Full-Stack Engineer specializing in AI, cloud, and enterprise platforms
Rhutwij Tulankar
Engineering Manager and ML/Data Architect specializing in scalable data platforms and personalization
“Hands-on engineering manager at a marketing company leading a highly senior, distributed team (10 direct reports) while personally coding ~60–70% and owning end-to-end architecture across three interconnected products. Built agentic CRM automation and a reinforcement-learning-driven distribution layer for channel spend/bidding, with a strong focus on scalable design and observability (Prometheus/APM/logging) enabling frequent releases and few production incidents.”
James Prolizo
Executive Technology Leader specializing in digital, AI, cloud, and cybersecurity transformation
“CIO-level technology leader (most recently at Sovos) who owned the full tech roadmap across product, infrastructure, and corporate IT, scaling engineering across 14 countries with an architectural review board and standardized security/observability. Hands-on in high-severity incidents (ransomware) while managing executive/client communications, and drove a reported 40% product-velocity lift by adopting AI code assistants and agentic AI (Devin) alongside Kubernetes + Bottlerocket for secure scalability.”
Vatsal Gabani
Mid Software Engineer specializing in backend systems and AI-enabled platforms
“Full-stack engineer with hands-on ownership of a support ticket intelligence platform, spanning React/TypeScript frontend work and backend API, PostgreSQL, Redis, and Docker-based deployment. They stand out for driving practical architecture and performance improvements in production, including moving heavy processing async and cutting response times from about 300ms to 150ms while improving reliability.”
Chris Michaelson
Executive engineering leader specializing in cloud platforms, DevOps, and enterprise modernization
“Senior engineering leader with experience across cybersecurity, retail commerce, consulting, and media platforms, combining large-scale org leadership with hands-on architecture depth. Notable for driving measurable cloud modernization outcomes—multi-million-dollar cost savings, major latency and MTTR reductions, and compliance-heavy transformations—while also leading AI/NLP and consumer product simplification initiatives.”
Vigynesh Bhatt
Mid-level Software Engineer specializing in backend, cloud, and ML systems
“Software engineer with experience across Goldman Sachs, BYU Broadcasting, Juniper Networks, and an edtech startup (Doubtnut), spanning data migrations, AWS-based media backends, and microservices observability. Built a Redis/ElastiCache caching layer in front of DynamoDB/S3 to improve media delivery latency and cost, and created an SEO indexing automation tool using the Google Search Console API that saved ~15–30 person-hours per day.”