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Vetted Grafana Professionals
Pre-screened and vetted.
Staff-level Software Engineer specializing in LLM inference infrastructure and scalable model serving
Senior Software Engineer specializing in cloud platforms and healthcare AI
Staff Software Engineer specializing in FinTech and distributed systems
Senior Full-Stack Engineer specializing in AI platforms, real-time collaboration, and observability
Senior Software Engineer specializing in distributed systems and high-scale backend platforms
Senior Full-Stack Engineer specializing in Python back ends and cloud-native systems
Staff DevOps Engineer specializing in SRE, Kubernetes, and hybrid cloud platforms
Senior Full-Stack Engineer specializing in AI platforms and distributed systems
Senior Full-Stack Software Engineer specializing in AI platforms and cloud data systems
Senior Full-Stack Engineer specializing in integrations, microservices, and data platforms
Senior Python Developer specializing in FinTech and RegTech payment systems
Staff Full-Stack Software Engineer specializing in cloud platforms and real-time health data
Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference
Staff Software Engineer specializing in ML infrastructure and data platforms
Senior Software Engineer specializing in Java backend and OLAP systems for Ads platforms
Senior AI/ML Engineer specializing in LLM applications, RAG systems, and MLOps
Senior Software Engineer specializing in AI infrastructure and distributed systems
Senior Software Engineer specializing in full-stack systems and ML-driven platforms
Staff AI/ML Engineer specializing in LLMs, fraud detection, and MLOps
Senior Software Engineer specializing in DevOps and CI/CD infrastructure reliability
Senior Full-Stack Software Engineer specializing in AI-powered distributed systems
Nathan Telles
Staff Software Engineer specializing in distributed systems, cloud platforms, and AI services
“Meta engineer who owned end-to-end production systems for AI-enabled smart glasses, spanning React/TypeScript apps through Node/Java microservices on AWS EKS with Kafka/Postgres. Built and productionized a real-time RAG pipeline (LangChain + OpenAI + Elasticsearch) with rigorous guardrails (shadow/canary, fallbacks, monitoring), delivering major improvements in latency (~35–40%), error reduction (~30%), and engagement (reported +40% DAU).”
Upender Mula
Mid-level Software Engineer specializing in backend systems, real-time data pipelines, and FinTech
“Backend/platform engineer who has owned real-time reporting and streaming analytics systems end-to-end, combining FastAPI/Postgres APIs with Kafka consumers, Celery background jobs, and Redis caching. Strong DevOps/GitOps experience deploying Python/Node microservices to AWS EKS with Helm, ArgoCD/FluxCD, and CI pipelines, and has supported phased on-prem to AWS migrations using Terraform and traffic cutovers.”