Full Stack Engineer

Location: Oakland, CA
Duration: 6 Months
Work Mode: Remote, with on-site presence required as needed. Local candidates only.

Responsibilities:

• Develop modern front-end applications using React, TypeScript, and reusable component architectures.
• Build and maintain design systems, UI component libraries, and consistent UI/UX patterns across products.
• Design, develop, and optimize backend services using Java (Spring Boot or similar) and Node.js/Express.
• Develop data processing workflows and ETL pipelines using Python and PySpark.
• Participate in Agile/Scrum ceremonies, including sprint planning, backlog refinement, and iterative development cycles.
• Collaborate with product owners, designers, and cross-functional teams to translate business requirements into technical solutions.
• Contribute to architectural discussions, code reviews, and long-term engineering strategy.
• Ensure code quality, performance, reliability, and security across the entire application stack.
• Support production systems, troubleshoot issues, and continuously improve application stability.

Requirements:

• Strong proficiency with React, TypeScript, and component-driven development.
• Hands-on experience building design systems and reusable component libraries.
• Solid backend development experience using Java and Node.js/Express.
• Proficiency in Python and PySpark for data pipelines and batch processing.
• Experience working in Agile/Scrum teams and contributing to iterative delivery.
• Understanding of RESTful API design, distributed systems basics, and scalable architectures.
• Familiarity with CI/CD pipelines, Git workflows, and cloud platforms.
• Clear communication skills and comfort collaborating with multidisciplinary teams.

Preferred Skills:

• Experience with Storybook, design tokens, accessibility standards, or UI governance.
• Background in building internal developer tools or platform engineering solutions.
• Familiarity with containerization (Docker), Kubernetes, or cloud ecosystems (AWS, GCP, Azure).
• Experience with data orchestration tools or advanced ETL frameworks.