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Vetted CI/CD Professionals
Pre-screened and vetted.
Mid-level Data Engineer specializing in cloud-native big data pipelines and analytics
Senior Backend Engineer specializing in Healthcare & Cloud Platforms
Mid-level Computer Vision Engineer specializing in robotics perception and mapping
Senior Software Engineer specializing in full-stack platforms, MLOps, and LLM search
Mid-Level Full-Stack Software Developer specializing in AWS cloud and automation
Senior Data Engineer specializing in cloud data platforms and real-time analytics
Senior DevSecOps Engineer specializing in secure cloud CI/CD and compliance automation
Senior Backend Software Engineer specializing in AWS serverless and data pipelines
Junior Frontend Software Engineer specializing in React, TypeScript, and performance optimization
Mid-Level Full-Stack Software Engineer specializing in cloud-native systems and FinTech
Senior Backend Engineer specializing in Python and cloud data platforms
Mid-level Software Engineer specializing in backend systems, billing, and real-time data pipelines
Intern Full-Stack Software Engineer specializing in distributed systems and cloud services
Mid-level Software Engineer specializing in distributed systems and payments
Mid-level AI Solutions Architect & Product Leader specializing in enterprise GenAI systems
Executive GTM & Customer Success leader specializing in AI, robotics, and enterprise SaaS
Principal Data Scientist / AI Engineer specializing in healthcare-native AI platforms
Director-level Engineering Leader specializing in SaaS platforms, cloud architecture, and SRE
Senior Azure DevOps Engineer specializing in cloud architecture, IaC, and DevSecOps
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.”