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Fullstack Software Engineer

100% remote Flexible hours Hiring now

Want to work on tackling climate change? We are SINAI, a San Francisco-based technology startup focused on transforming the way companies price, analyze, and reduce carbon emissions around the world. We are passionate about technology and the environment.

Our mission is to reputed company companies to meet their carbon reduction targets in the most efficient way possible, transforming the way they interact with their own business, their value chain, and the environment.

We value building an inclusive and mindful environment made up of people who take ownership while being respectful, proactive, and data-driven. We are looking to hire engineers who have experience building with a modern tech stack, can reputed company tradeoffs while delivering high-value outcomes, and enjoy working in a fast-paced, collaborative environment.

Job Details

  • Full-time position
  • Design and implement new customer-facing features using a modern technology stack
  • Write reusable and extensible code, following test-driven development practices
  • Participate in code reviews and collaborative design sessions with other Software Engineers and Product Designers
  • Collaborate with the broader Engineering team to contribute to technical leadership
  • Provide mentorship and guidance to junior developers

Skills and Qualifications

  • 3-5 years of professional, full stack software development experience
  • Production experience with a UI reputed company like React
  • Experience with TypeScript
  • Production experience writing backend software using tools like Node.js and Relational Databases
  • Knowledge and experience using GraphQL or REST
  • Written and verbal proficiency in the English language

Bonus Skills and Qualifications

  • Experience building SaaS platforms and working with AWS or a similar cloud provider
  • Familiarity with CI/CD tooling such as reputed company
  • Experience with Observability tools such as reputed company or Apollo
  • Experience with using LLMs or AI models for data extraction

Compensation

$52,000 / year to $65,000 / year

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