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Vetted PostgreSQL Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in compliance, FinTech, and healthcare platforms
Mid-level DevOps & Platform Engineer specializing in Kubernetes and AWS infrastructure
Senior Full-Stack Python Developer specializing in Django, FastAPI, and cloud platforms
Mid-level AI Engineer specializing in production LLM, RAG, and agentic AI systems
Director-level Engineering Leader specializing in cloud platforms, AI/ML, and scalable SaaS
Senior Software Engineer specializing in backend, full-stack, and AI systems
Senior Full-Stack Developer specializing in cloud-native FinTech microservices and React
Senior Data Scientist specializing in NLP, MLOps, and cloud ML platforms
Mid-level Software Engineer specializing in Java microservices and AI for FinTech
Senior Full-Stack Engineer specializing in scalable web apps and API architecture
Mid-level Full-Stack Developer specializing in cloud-native microservices
Principal Automation Architect specializing in cloud DevOps, microservices, and MLOps
Mid-level Java Full-Stack Developer specializing in cloud-native microservices
Senior Full-Stack Java Developer specializing in Spring Boot microservices and cloud platforms
Senior Full-Stack Java Engineer specializing in microservices, cloud, and enterprise platforms
Senior DevOps/SRE Engineer specializing in multi-cloud infrastructure and Kubernetes
Senior AI Python Engineer specializing in Generative AI and MLOps
Senior Full-Stack Developer specializing in cloud microservices and enterprise applications
Daniel Parraga
Director-level engineering leader specializing in platform architecture and cloud modernization
“Senior engineering leader with 8+ years of hands-on and people leadership experience across data-intensive enterprise platforms. He has led legacy-to-AWS modernization for mission-critical identity data workflows at Deep Sync, built and scaled teams rapidly, and previously helped create a 0-to-1 enterprise analytics platform at Kantar that later scaled to handle 10x more data with major performance gains.”