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Vetted Observability Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in Java microservices and cloud-native systems
Mid-Level Software Engineer specializing in full-stack web development and cloud
Mid-level Backend Software Engineer specializing in cloud microservices and AI agent systems
Principal Full-Stack Engineer specializing in scalable SaaS and cloud-native systems
Mid-level Software Engineer specializing in full-stack and AI-enabled platforms
Junior Software Engineer specializing in distributed systems and cloud infrastructure
Mid-Level Backend Software Engineer specializing in AWS microservices and AI/automation
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and mobile apps
Mid-level Full-Stack Software Engineer specializing in Ruby on Rails and JavaScript SPAs
Mid-level Backend Software Engineer specializing in AI-powered microservices and cloud infrastructure
Senior Implementation & Solutions Engineer specializing in healthcare IT deployments
Mid-Level Software Engineer specializing in cloud-native full-stack and DevOps
Mid-level Full-Stack AI Engineer specializing in agentic RAG and LLM fine-tuning
Director-level engineering leader specializing in platform modernization and cloud architecture
Senior Python Backend Engineer specializing in scalable APIs, cloud microservices, and AI/ML platforms
Senior DevOps/Cloud Engineer specializing in AWS infrastructure and CI/CD automation
Maneesh Ujji
Junior Machine Learning & Data Science professional specializing in AI agents and applied ML
“IT Analyst/research background with hands-on experience deploying and hardening a multi-agent AI support/triage system (ticket ingestion + knowledge-base retrieval) with strong emphasis on reliability and observability. Has debugged real production issues spanning backend services and network latency (sync failures/partial writes) and is comfortable in Linux environments; also has academic exposure to robotics simulation and ROS2.”
Snigdha Reddy Podduturi
Junior Data & AI Engineer specializing in cloud AI and analytics
“Built production AI backend systems in healthcare and e-commerce, including a healthcare agent that automated clinical workflows like medication refills, immunizations, and scheduling using FHIR APIs and cloud-native infrastructure. Strong in end-to-end backend ownership, LLM orchestration, and adding guardrails/validation for high-stakes and customer-facing AI workflows.”