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Vetted Elastic Stack (ELK) Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in distributed systems and full-stack web applications
Senior Full-Stack Software Engineer specializing in Healthcare IT and cloud-native systems
Mid-Level Software Engineer specializing in backend microservices and cloud-native ML platforms
Senior Machine Learning Engineer specializing in MLOps and GenAI platforms
Senior AI/ML Engineer specializing in ML infrastructure and conversational AI
Mid-level Full-Stack Engineer specializing in cloud-native FinTech systems
Mid-level Backend Software Engineer specializing in scalable systems and healthcare workflows
Mid-level DevOps Engineer specializing in cloud-native CI/CD and Kubernetes
Mid-level Full-Stack Software Engineer specializing in cloud-native and AI-driven applications
Mid-level Software Engineer specializing in distributed systems and data platforms
Senior Software Engineer specializing in full-stack SaaS, AI workflows, and FinTech
Senior Site Reliability Engineer specializing in multi-cloud, Kubernetes, and observability
Mid-level Platform Engineer specializing in cloud infrastructure and DevOps
Senior Data Engineer specializing in cloud data platforms and big data pipelines
“Backend engineer with experience in both regulated healthcare and finance: built a multi-agent RAG system to generate FDA regulatory approval documents for biomedical devices, improving retrieval accuracy via hybrid search (semantic + BM25) and hierarchical chunking. Previously at JPMorgan Chase, led a Java microservice refactor and AWS migration using Elasticsearch-first patterns, caching, and safe rollout strategies (parallel runs, canary, blue-green) in asset/wealth management.”
Rishitha Madipelli
Mid-level Software Engineer specializing in cloud-native distributed systems and streaming data
“Backend/product engineer with Tesla experience building and operating a real-time OTA update monitoring and fleet analytics platform at massive scale (telemetry from 3M+ vehicles). Delivered end-to-end systems across Kafka-based ingestion, TimescaleDB/Postgres analytics modeling, FastAPI/GraphQL APIs, and React/TypeScript dashboards, and handled production scaling incidents on AWS EKS during major rollout spikes.”
Anu Baluguri
Mid-Level Software Engineer specializing in cloud-native microservices and event-driven systems
“Full-stack engineer with production experience at Atlassian and Zoho, spanning GraphQL federation, React/TypeScript frontends, and cloud-native AWS/Kubernetes operations. Built and operated a federated GraphQL gateway with Terraform + CI/CD + observability, delivering major latency and integration-time improvements, and also designed high-volume Kafka data pipelines (10M+ events/day) with strong reliability guarantees.”