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Vetted Prometheus Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in backend microservices and cloud-native systems
Mid-level Data Engineer specializing in streaming and cloud lakehouse platforms
Senior DevOps Engineer / AWS Solutions Architect specializing in Kubernetes and DevSecOps
Mid-level AI Backend Engineer specializing in LLM applications and scalable ML systems
Senior AI Platform Engineer specializing in agentic AI and RAG systems
Senior Full-Stack Engineer specializing in Java microservices and FinTech
Mid-level Software Engineer specializing in Applied AI and FinTech
Mid-level Software Engineer specializing in AI systems and FinTech
Junior Software Engineer specializing in backend, cloud, and AI-enabled enterprise systems
Executive CTO/VP Engineering specializing in high-performance AI, data systems, and distributed infrastructure
Senior AI/ML Engineer specializing in GenAI, LLMs, NLP, and MLOps
Mid-level Linux DevOps Engineer specializing in automation and cloud infrastructure
Senior Software Engineer specializing in distributed systems, IoT, payments, and blockchain
Senior AI/ML Engineer specializing in Generative AI and cloud-native ML systems
Longyang Xu
Junior Full-Stack Software Engineer specializing in cloud microservices and ML-driven products
“Backend engineer with hands-on ownership of Python/Flask microservices and recommendation systems across edtech and telecom. Deployed and operated real-time personalization/recommendation platforms on AWS EKS with Jenkins-based CI/CD, GitOps-style declarative configs, and strong observability practices. Has migration experience moving legacy mixed environments to modern containerized Kubernetes and built Kafka pipelines feeding ML services while managing schema evolution.”
Matthew Mullins
Senior Software Engineer specializing in AI/ML backend and cloud infrastructure
“Backend/data platform engineer with production experience at Walmart and Molina Healthcare, building Python microservices on AWS (EKS + Lambda) for real-time inventory and recommendation systems. Strong in reliability/observability and incident leadership, plus modernizing legacy healthcare workflows and building resilient AWS Glue/PySpark pipelines with schema evolution and data quality controls.”