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Vetted Amazon SNS Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in distributed systems and full-stack web applications
Senior Full-Stack Engineer specializing in event-driven systems for FinTech and Healthcare
Senior Full-Stack Software Engineer specializing in Healthcare IT and cloud-native systems
Mid-level Full-Stack Python Developer specializing in APIs, microservices, and cloud deployments
Senior Software Engineer specializing in Healthcare IT and cloud-native microservices
Junior Software Engineer specializing in data engineering and machine learning
Principal Full-Stack Engineer specializing in AI platforms and enterprise systems
Senior Full-Stack Engineer specializing in cloud-native SaaS platforms
Senior Software Engineer specializing in full-stack, data engineering, and AI/ML
Junior Software Engineer specializing in full-stack, cloud, and AI systems
Mid-level Software Engineer specializing in cloud API authorization and distributed backend systems
Mid-Level Software Engineer specializing in cloud-native distributed systems
Mid-level Data Engineer specializing in real-time streaming and cloud data platforms
Senior Site Reliability Engineer specializing in multi-cloud, Kubernetes, and observability
Senior Data Engineer specializing in cloud data platforms and big data pipelines
Varshith Dupati
Mid-level Software Engineer specializing in AWS, full-stack development, and AI data systems
“Backend engineer who built a Python-based data profiling/statistics platform processing up to 50M rows and ~300 metrics, using a DAG execution model, multithreading, and smart caching to cut processing time by up to 70%. Also improved PostgreSQL query performance from 12s to 2s via indexing/query rewrites, integrated an LLM (LangChain + OpenAI) for explainable “chat with the pipeline” functionality, and designed an AWS EC2+SQS architecture for scalable, isolated per-user processing.”
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.”
Hari Kiran Reddy Rommala
Mid-level Full-Stack Software Engineer specializing in cloud and data platforms
“Full-stack engineer with experience spanning Amazon IMDb and Northeastern’s NeuroJSON portal, combining consumer product work with complex scientific data applications. Built IMDb’s streaming providers feature—described as the company’s most impactful feature of 2023—and has hands-on experience with React/Angular, GraphQL, AWS, Python services, and production monitoring.”
Shreya B
Mid-level Software Engineer specializing in backend, cloud-native, and GenAI systems
“Software engineer with strong Java/Spring Boot backend depth and hands-on full-stack experience building AI-powered enterprise knowledge assistants and customer-facing order tracking systems. Stands out for combining RAG/LLM product work, event-driven microservices, and user-trust-focused product iteration, including shipping prototypes that became the basis for broader production workflows.”
Sunil Chinthaparthi
Senior Software Engineer specializing in cloud-native backend and distributed systems
“Backend engineer focused on Python/FastAPI microservices running on Kubernetes (AWS EKS) with strong GitOps/CI/CD ownership (GitHub Actions + ArgoCD). Demonstrated measurable performance wins (p95 latency cut from >1s to <200ms) and production reliability work across Kafka/Redis streaming and cloud-to-on-prem migrations (RDS/S3 to Postgres/MinIO) using parallel validation and checksum-based consistency checks.”