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Vetted Prometheus Professionals
Pre-screened and vetted.
sasanka voleti
Senior DevOps & Site Reliability Engineer specializing in cloud reliability and observability
“Built and deployed a production AI/ML SRE copilot that uses RAG over real-time Splunk signals plus deployment/runbook data to generate grounded incident summaries and next steps, cutting time-to-contact by 30%. Treats the knowledge corpus like a production dataset (quality gates, semantic chunking, metadata enrichment) and runs golden-dataset automated evals to ensure reliability, while partnering closely with ops/support leaders through discovery sessions and metric-driven demos.”
Chaitanya Mahajan
Intern/Junior Software Engineer specializing in ML, networking telemetry, and full-stack web apps
“Backend-focused engineer with hands-on experience modernizing a legacy SNMP/PNM data collection system at CableLabs into a cloud-accessible Kubernetes pipeline, feeding Prometheus-formatted metrics into VictoriaMetrics and visualizing real-time network health in Grafana for 100+ modems. Also built a FastAPI + Supabase appointment booking portal for a clinic with encryption and phone-number-based auth, and has frontend experience debugging S3-based HEIF image rendering issues.”
Neha Baadadmath
Executive Software Engineering Leader specializing in Trading, Payments, and FinTech platforms
“Entrepreneurially minded operator with experience in trading-platform environments who prototyped a vector-database layer to generate contextual incident narratives and reduce MTTR/escalations. Also building a non-tech venture: luxury wine distribution into India and broader Asian markets, sourcing directly from wineries with a Master of Wine and planning tier-1 launch via restaurant-owner connections while navigating complex import duties and licensing.”
Puyu Yang
Director-level Cloud/Platform Engineer specializing in Kubernetes, AI systems, and distributed infrastructure
“Cloud/platform engineering lead with deep Azure AKS and SRE/observability expertise who migrated an EY enterprise SaaS platform from monolith to cloud-native microservices, supporting 10+ products and ~$200M annual revenue with ~99.9% uptime. Also building an open-source Kubernetes-native AI agent orchestration platform (AgScale) in Go with CRDs/controllers, policy/tool governance, token budgets, and production-grade monitoring.”
Junior Full-Stack Developer specializing in cloud-native microservices
Mid-level Full-Stack Python Engineer specializing in cloud-native payments and data pipelines
Mid-Level Software Engineer specializing in FinTech, treasury systems, and compliance platforms
Senior Software Engineer specializing in cloud storage and infrastructure
Senior Python AI/ML Engineer specializing in MLOps, data engineering, and LLM applications
Mid-level DevOps Engineer specializing in AWS cloud infrastructure and CI/CD
Senior Full-Stack Engineer specializing in Python, AI automation, and cloud microservices
Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native microservices
Mid-level Software Engineer specializing in real-time streaming and analytics platforms
Mid-level Full-Stack Developer specializing in Python/Django and React
Mid-Level Software Engineer specializing in backend, distributed systems, and AI/ML platforms
Junior Data/Backend Engineer specializing in distributed systems and streaming pipelines
Senior Backend Software Engineer specializing in cloud-native platforms (AWS/Kubernetes)
Mid-level Java Full-Stack Developer specializing in cloud-native microservices
Mid-level Full-Stack Developer specializing in cloud-native data platforms
Senior Software Engineer specializing in scalable platforms and AI-driven personalization
Mid-Level Backend Engineer specializing in cloud-native distributed systems and data pipelines
Mid-Level Software Engineer specializing in cloud-native microservices and real-time ML pipelines
Senior Software Engineer specializing in cloud-native microservices and FinTech platforms