Full Stack Engineer
Axelon
Location: Oakland, CA
Duration: 6 Months
Work Mode: Remote, with on-site presence required as needed. Local candidates only. Responsibilities:
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.
- 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.
- 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.
Vacancy posted 2 days ago
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