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Vetted Observability Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in AI, data engineering, and cloud systems
Mid-Level Backend Software Engineer specializing in distributed systems and observability
Senior Backend Engineer specializing in cloud-native microservices and secure APIs
Mid-Level Software Engineer specializing in AI systems and full-stack development
Mid-level AI/ML Engineer specializing in forecasting, MLOps, and generative AI
Mid-Level Full-Stack & Cloud Engineer specializing in scalable distributed systems
Mid-level Backend/Data Engineer specializing in legal data pipelines and APIs
Executive technology leader specializing in AI-powered workplace and managed services platforms
Mid-level Software Developer specializing in backend, cloud-native systems, and AI automation
Director-level AI/ML engineering leader specializing in platform and product development
Senior Software Engineer specializing in backend data platforms for FinTech
Senior Software Engineer specializing in backend systems and FinTech screening platforms
Senior Full-Stack Engineer specializing in cloud-native AI and SaaS platforms
Mid-level Full-Stack Java Developer specializing in cloud-native AI platforms
Senior Full-Stack Engineer specializing in backend, cloud, and AI systems
Jayadeep Nukala
Mid-level Full-Stack Engineer specializing in AI platforms and FinTech
“Built full-stack and AI-driven products spanning banking KYC modernization and enterprise software testing automation. Particularly strong in productionizing LLM workflows in regulated environments, using deterministic orchestration, RAG, and human-in-the-loop controls to improve test coverage to 80% and reduce QA reporting burden by over 50%.”
Joshua Pinkerton
Senior Backend Engineer specializing in FinTech and distributed systems
“Backend-focused engineer with deep Java/Spring expertise in fintech and SaaS integrations, including high-scale financial data pipelines and partner-facing APIs. Most notably re-platformed a 100M+ record ETL system to a custom concurrent Spring Batch architecture that cut failures dramatically and reduced infrastructure costs by over 90%, while also leading enterprise-grade event-driven integrations for customers like Bosch and Amazon.”
Harvey Zhang
Staff Platform Engineer specializing in healthcare systems and observability
“Hands-on production engineer with deep Oracle tuning and observability-driven troubleshooting experience in a 24x7 healthcare system used by pharmacists across the U.S. While not yet hands-on with GCP databases, they bring strong transferable cloud and platform experience from AWS/Azure, including migration work, memory leak remediation, HA/DR operations, and end-to-end performance debugging across DB, JVM, and network layers.”
Kshitij Singh
Intern Software Developer specializing in healthcare data and systems analysis
“Candidate comes from SaaS and healthcare analytics rather than game development, but has strong end-to-end ownership experience building real-time, high-availability systems in Python/AWS. They highlight measurable impact across performance, throughput, uptime, and cost reduction, including queue optimization and predictive ICU utilization pipelines, and are looking to transfer that systems engineering foundation into Unity/gameplay work.”