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Vetted Azure Monitor Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in cloud-native microservices and enterprise observability
Mid-level AI/ML Engineer specializing in Generative AI and cloud-based ML systems
Senior DevOps/SRE Engineer specializing in Azure cloud engineering and IaC automation
Senior Cloud DevOps/SRE Engineer specializing in multi-cloud infrastructure and automation
Mid-level Site Reliability/DevOps Engineer specializing in multi-cloud, Kubernetes, and observability
Mid-level Data Engineer specializing in real-time streaming and AI/ML data platforms
Mid-level Backend Engineer specializing in Java microservices and cloud data platforms
Mid-Level Full-Stack Software Engineer specializing in cloud microservices for financial services
Senior Cloud & DevSecOps Engineer specializing in AWS/Azure infrastructure automation
Senior Production Application Support Engineer specializing in banking and financial systems
Mid-level Full-Stack Java Developer specializing in cloud microservices and React
Mid-Level Software Engineer specializing in backend, microservices, and cloud platforms
Mid-Level Data Engineer specializing in cloud data pipelines and lakehouse/warehouse platforms
Mid-level AI/ML Engineer specializing in cloud MLOps, LLM agents, and risk & fraud modeling
Senior DevOps & Cloud Infrastructure Architect specializing in multi-cloud platforms
Senior Data Scientist specializing in ML engineering and cloud analytics
Mid-level Software Engineer specializing in backend systems and cloud platforms
Mid-level DevOps Engineer specializing in cloud infrastructure and FinOps
Senior Cloud Security Architect specializing in multi-cloud security and DevSecOps
Senior DevOps/Site Reliability Engineer specializing in multi-cloud Kubernetes platforms
Soumya Perala
Senior DevOps Engineer specializing in cloud infrastructure and CI/CD automation
“Backend/platform engineer who has owned a real-time data ingestion/processing/reporting API built with FastAPI, Redis, and Celery, including performance tuning via query/index optimization, caching, and async workers. Strong Kubernetes + CI/CD + GitOps (ArgoCD) experience, plus hands-on monitoring/logging (Prometheus/Grafana/ELK) and a Kafka/Spark real-time streaming project from their master’s program.”