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Build and maintain enterprise supply-chain and warehouse-management systems using Java/Spring Boot on the backend and React on the frontend.
Build scalable enterprise retail applications using Java, Spring Boot, React, and Node.js as a full-stack engineer collaborating with global teams.
Data analyst and program management role supporting privacy assessment and compliance initiatives, partnering with business and IT teams to lead privacy projects, identify risks, and ensure alignment with privacy laws.
Confiz is seeking an AI Architect in San Mateo, CA who can design and drive end-to-end AI-powered solutions from data engineering and model architecture to full-stack integration and deployment. This role bridges data…
Confiz is seeking a Senior Technical Project Manager to support one of our largest retail clients in Seattle, WA to drive high-impact Identity Security initiatives across our enterprise IAM landscape. This contingent…
One of Confiz's largest retail clients is on mission to enhance the selling experience for their salespeople across more than 350 stores. The POS team is dedicated to building and maintaining next generation Point of…
One of Confiz's largest retail clients is seeking an experienced React UI Developer to design, build, and maintain high-quality, scalable user interfaces for modern web applications. The ideal candidate has deep…
Confiz is seeking a Sr. Software Engineer/ Technical Lead to join our Seattle, WA team. This role is ideal for an experienced engineer who can design and deliver scalable solutions, influence technical direction, and…
Builds full-stack web apps using C#/.NET on the backend and React with TypeScript on the frontend, focusing on scalable, accessible interfaces and RESTful integrations.
Designs and validates Azure Data Lake and ETL pipelines using PySpark and SQL to ensure data accuracy and reliability.
Confiz is undergoing a major data transformation to ensure accurate, consistent data is available when needed. We are seeking a data engineer QA to validate pipelines and dashboards on Azure Data Lake, Synapse, and…
Designs and builds scalable supply-chain software using Java Spring Boot, React, and microservices on AWS, collaborating with global teams during PKT afternoon-to-evening hours.
Build and fine-tune LLMs and RAG systems using TensorFlow, PyTorch, and LangChain, while maintaining scalable ML pipelines in cloud environments like AWS or Azure.
Designs and delivers AI-native solutions using LLMs, agents, and MCP connectors, translating business needs into scalable, production-grade AI architectures.
Principal Data Engineer builds and scales real-time and batch data pipelines using PySpark, Kafka, Flink, and cloud orchestration tools, while leading a team and mentoring peers.
Design and build Java/Spring Boot microservices for supply-chain and warehouse systems, using Kafka, Kubernetes, AWS, and CI/CD pipelines.
Designs and optimizes real-time and batch data pipelines using PySpark, Kafka, Flink, and cloud orchestration tools like Azure Data Factory and Airflow.
Build and deploy production-grade AI systems using RAG, agentic frameworks (LangGraph, AutoGen), and vector search (Azure AI Search, pgvector) with Python and cloud tools.
Build and optimize ML models, LLMs, and RAG systems using Python, TensorFlow, and PyTorch, and deploy them on cloud platforms like AWS or Azure.
Secure AI systems by identifying and mitigating risks like prompt injection, jailbreaks, and data leakage in LLMs, RAG pipelines, and AI agents while enforcing responsible AI governance.
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