Senior Software Engineer (San Francisco)

About the role

• We are looking for a Full Stack Software Engineer with 5+ years of experience. This role is ideal for someone who thrives in fast-paced environments, enjoys building from the ground up, and has a strong sense of ownership over the entire development lifecycle. You will work across the stack, from designing scalable back-end services to creating intuitive front-end experiences.

Responsibilities

• Develop and Maintain Scalable Applications : Design, build, and maintain robust web applications using modern front-end and back-end technologies.
• Architect Scalable Solutions : Contribute to the system architecture and make high-level design decisions.
• Architect Modular Infrastructure : Write code in an extremely modular way to all for reuse and scalable maintenance across multiple implementations.
• Collaborate Cross-Functionally : Work closely with product managers, designers, and other engineers to define, develop, and launch new features.
• Optimize Performance : Ensure applications are efficient, secure, and performant at scale.
• Stay Ahead of Trends : Continuously research and implement the latest industry best practices, tools, and technologies .
• Mentor & Guide : Provide technical guidance and mentorship to junior engineers.

Requirements

• Education : Degree in Computer Science, Software Engineering, or a related field.
• Experience : 5+ years of hands-on experience in full-stack development.
• Back-End Proficiency : Strong experience with Node.js, Typescript, yaml, and other scripting languages and familiarity with scalable cloud architectures (AWS, GCP, or Azure).
• Front-End Expertise : Proficiency in React.js, React Native, Templating Languages with strong UI / UX sensibilities.
• Database Knowledge : Experience with PostgreSQL, Supabase, and other databases .
• DevOps & CI / CD : Experience with Docker, GitHub, and CI / CD pipelines .
• API Development : Strong understanding of RESTful APIs and serverless infrastructure.

Bonus Skills

• Experience with AI / ML integration in applications.
• Experience working with LLMs in production environments .
• Background in building SaaS platforms.
• Experience with serverless computing frameworks.