37 results for Full Stack Software Engineer Jobs in San Carlos, CA, US

Responsible for driving full-stack feature development, collaborating on user-facing features, building scalable web applications, optimizing existing systems, and contributing to architectural decisions. Requires strong proficiency in React, TypeScript, and understanding user needs.

Responsible for designing, developing, and maintaining scalable full-stack applications. Build visual tools for application development, lead technical design discussions, fix bugs, mentor junior team members, and cultivate innovation within the team.

Responsible for writing clean and efficient code for real-time payment systems, implementing testing strategies, optimizing system performance, developing monitoring tools, utilizing CI/CD for deployment, participating in code reviews, and resolving production issues.

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)Our Mission:To actively connect people to their next great opportunity.Who We Are: ZipRecruiter is a leading online employment marketplace. Po...

1 billion jobs will be transformed by technology in the next decade, and companies have an urgent need to reskill their employees in the highest demand fields. Individuals have a growing need to reskill throughout their careers as industries, technologies, and models change for nearly every career.U...

What To ExpectTesla is re-thinking how batteries are made from the ground up. We’re designing new factories, new equipment, new processes, and new software to rapidly scale battery manufacturing, globally. The primary bottleneck to Tesla’s future expansion (and the transition to sustainable transpor...

Design, develop, and deploy tools for legal operations, ensuring security compliance and optimizing applications. Collaborate with stakeholders to create technical solutions, integrate databases, and develop APIs. Contribute to DevOps practices and write maintainable code.

About The CompanyCompanies want to train their own large models on their own data. The current industry standard is to train on a random sample of your data, which is inefficient at best and actively harmful to model quality at worst. There is compelling research showing that smarter data selection ...

Responsible for building scalable infrastructure, managing and growing the engineering team, and working with a tech stack that includes Python, Kubernetes, and GCP. Engages in a structured interview process including initial chats, personality assessments, and onsite interviews.

Responsible for developing and maintaining a robust, secure, and scalable solution, including designing and implementing front-end and back-end features, collaborating with cybersecurity experts, and refining the platform against emerging threats.