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Vetted Grafana Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in AI and cloud-native data platforms
Senior Full-Stack Engineer specializing in cloud-native platforms, DevOps, and Kubernetes
Mid-level Full-Stack Software Engineer specializing in cloud microservices and GenAI
Junior Full-Stack Developer specializing in AI and cloud-native systems
Junior Full-Stack Software Engineer specializing in distributed systems and scalable platforms
Senior Cloud DevOps/SRE Engineer specializing in Azure and Kubernetes
Mid-Level Software Engineer specializing in distributed systems and cloud platforms
Mid-level Backend Software Engineer specializing in Go/Python distributed systems
Mid-level Software Developer specializing in DevOps, CI/CD, and AWS Kubernetes
Mid-level Generative AI Engineer specializing in LLM, RAG, and multimodal enterprise solutions
Mid-level DevOps Engineer specializing in Azure cloud infrastructure and CI/CD
Mid-level Full-Stack Software Developer specializing in cloud microservices and healthcare interoperability
Sai Krishna Sriram
Mid-level Generative AI & ML Engineer specializing in production LLM and RAG systems
“AI/ML engineer who shipped a production blood-test report understanding and personalized supplement recommendation product, using a LangGraph multi-agent pipeline on AWS serverless with OCR via Bedrock and RAG over vetted clinical research. Also built end-to-end recommender system pipelines at ASANTe using Airflow (ingestion, embeddings/features, training, registry, batch scoring/monitoring) with KPI reporting to Tableau, with a strong focus on safety, evaluation, and measurable reliability.”
Sandeep Reddy
Mid-level SRE/DevOps Engineer specializing in cloud infrastructure automation and Kubernetes
“Cloud/SRE-style engineer at TDS supporting revenue-critical transportation SaaS platforms on AWS/GCP with Kubernetes. Has hands-on experience leading high-impact production work including DDoS mitigation, zero-downtime MSSQL→PostgreSQL migration using CDC, and building secure GitHub Actions + ArgoCD delivery pipelines and Terraform-based GKE infrastructure.”