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Vetted Apache Kafka Professionals
Pre-screened and vetted.
Mid-level Full-Stack/Backend Software Engineer specializing in distributed systems and cloud
Mid-level Full-Stack Software Engineer specializing in distributed systems and GenAI platforms
Mid-level Data Engineer specializing in cloud-native big data pipelines and analytics
Senior Backend Engineer specializing in Healthcare & Cloud Platforms
Senior Software Engineer specializing in full-stack platforms, MLOps, and LLM search
Senior Data Engineer specializing in cloud data platforms and real-time analytics
Mid-Level Full-Stack Software Engineer specializing in cloud-native systems and FinTech
Junior Frontend Software Engineer specializing in React, TypeScript, and performance optimization
Junior AI Software Engineer specializing in LLM systems and retrieval (RAG)
Senior Software Engineer specializing in AWS distributed systems and developer tools
Mid-level Software Engineer specializing in backend systems, billing, and real-time data pipelines
Mid-level AI/ML Engineer specializing in LLMs, ranking systems, and MLOps
Junior Software Development Engineer specializing in IoT, robotics, and machine learning
Executive Engineering Leader specializing in Platform, Cloud, and AI tooling
Mid-level Software Engineer specializing in distributed systems and payments
Principal Data Scientist / AI Engineer specializing in healthcare-native AI platforms
Director-level Engineering Leader specializing in SaaS platforms, cloud architecture, and SRE
Rhutwij Tulankar
Engineering Manager and ML/Data Architect specializing in scalable data platforms and personalization
“Hands-on engineering manager at a marketing company leading a highly senior, distributed team (10 direct reports) while personally coding ~60–70% and owning end-to-end architecture across three interconnected products. Built agentic CRM automation and a reinforcement-learning-driven distribution layer for channel spend/bidding, with a strong focus on scalable design and observability (Prometheus/APM/logging) enabling frequent releases and few production incidents.”
Vigynesh Bhatt
Mid-level Software Engineer specializing in backend, cloud, and ML systems
“Software engineer with experience across Goldman Sachs, BYU Broadcasting, Juniper Networks, and an edtech startup (Doubtnut), spanning data migrations, AWS-based media backends, and microservices observability. Built a Redis/ElastiCache caching layer in front of DynamoDB/S3 to improve media delivery latency and cost, and created an SEO indexing automation tool using the Google Search Console API that saved ~15–30 person-hours per day.”