About

Location: Remote Job Type: Full-time Seeking a skilled and motivated Full Stack Data Engineer with strong expertise in cloud, data engineering, and system design to join. This role requires hands-on experience with Azure, Kubernetes, Python, and React, as well as a solid understanding of modern application architecture, data pipelines. Collaborate with cross-functional teams to optimize system performance, improve UI/UX, and integrate intelligent models into our application stack. --- ### Key Responsibilities * Design and implement scalable cloud-native applications using Azure services. * Manage and deploy applications using Kubernetes while maintaining healthy clusters. * Utilize Azure Repos and Git for version control and collaborative development. * Build, enhance, and maintain CI/CD pipelines (Azure Pipelines preferred). * Contribute to system design and application architecture discussions. * Collaborate with frontend and backend developers for seamless integration. * Enhance the UI using React (JavaScript) for improved user experience. * Develop and optimize backend logic in Python, including working with DataFrames. * Write efficient SQL queries and work with Snowflake DB. * Understand deployment workflows; knowledge of Dagster for orchestration is a plus. * Integrate and experiment with LLMs and related AI models. * Participate in code reviews, troubleshooting, and performance tuning. --- ### Requirements * Proven experience with Azure (Functions, Storage, DevOps, etc.). * Strong understanding of Kubernetes and cluster management. * Hands-on experience with CI/CD pipelines (Azure Pipelines preferred). * Proficiency in Python, including DataFrames (e.g., Pandas). * Strong knowledge of React (JavaScript) for UI development. * Proficiency in SQL and experience with Snowflake. * Experience in Git for version control and collaboration. * Solid grasp of system design, API architecture, and microservices. * Understanding of frontend and backend integration. * Exposure to LLMs and machine learning models (significant plus). * Familiarity with Dagster for orchestration (optional but desirable). --- ### Preferred Qualifications * Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. * Prior experience in a data-driven or AI-enabled product environment. * Ability to work independently and as part of a distributed team. * Strong communication skills and a proactive attitude.