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Vetted Amazon VPC Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in Cloud DevOps & Platform Engineering
Mid-level Software Development Engineer specializing in AWS cloud services and distributed systems
Mid-level Software Engineer specializing in distributed systems and cybersecurity
Mid-level Data Center Operations Technician specializing in AWS cloud infrastructure
Senior Full-Stack Engineer specializing in event-driven systems for FinTech and Healthcare
Executive VP of Engineering specializing in FinTech platforms, cloud modernization, and AI/ML
Mid-level Full-Stack Engineer specializing in cloud-native FinTech systems
Mid-level Software Engineer specializing in cloud API authorization and distributed backend systems
Mid-level DevOps Engineer specializing in cloud-native CI/CD and Kubernetes
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
Devisri Veeramachaneni
Senior Software Engineer specializing in cloud backend systems and LLM-powered agents
“Amazon Fire TV Devices engineer who built and shipped a production LLM-powered lab triage and validation system that grounds recommendations in internal runbooks/known-issue data and pushes evidence-based actions via dashboards and Slack. Emphasizes safety and measurability with structured JSON outputs, replay-based evaluation on historical incidents, and production metrics (e.g., disagreement rate and time-to-first-action), plus cost/latency optimizations like caching, batching, and rule-based fast paths.”
Sahithi K
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
“Data engineer with experience at Moderna and Block owning high-volume (≈10TB/day) production pipelines on AWS, using Kafka/S3/Glue/dbt/Snowflake with strong data quality and observability practices (schema validation, anomaly detection, CloudWatch monitoring). Also built external financial API ingestion with Airflow retries, throttling/token rotation, and schema versioning, and helped stand up an early-stage biomedical data platform with CI/CD and incident debugging.”
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.”
Pranav Purathepparambil
Intern Software Engineer specializing in distributed systems and security
“Built a production LLM-powered analyst assistant at Discern Security to speed up SOC investigations using a RAG pipeline over security vendor documentation (Python PDF ingestion, vector search). Demonstrates deep, security-critical LLM engineering: structure-aware chunking with custom table parsing, grounded/cited responses, prompt-injection defenses, and post-generation validation, validated via golden datasets and adversarial testing; tool is used daily by analysts.”
Nagarjuna Vaddineni
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and data pipelines
“Amazon backend engineer who built and operated high-scale Java Spring Boot microservices on AWS (EKS/EC2) handling millions of daily transactions, with deep experience debugging p95 latency and database/ORM bottlenecks. Shipped an AI-driven real-time personalization feature by integrating SageMaker model inference end-to-end with low-latency caching and graceful fallbacks, and designed robust order/payment orchestration with retries, compensations, and DLQ-based escalation.”