Full Stack Engineer (Americas)

Infisical is seeking an exceptional Full Stack Engineer to join their team in building the open source security infrastructure stack for the AI era. This is a high-impact role where you'll work directly with the CTO and engineering team to shape the future of the platform.

The company has raised $19M from notable investors including Y Combinator, Google, and Elad Gil, and serves customers like Hugging Face, Lucid, and LG. They help developers and organizations securely manage over 1.5 billion secrets monthly, including application configuration, database credentials, certificates, and more.

As a Full Stack Engineer, you'll tackle diverse technical challenges, from developing secret rotation strategies to implementing protocols like EST and KMIP. You'll help build and expand core products including Infisical PKI, SSH, and KMS while working directly with enterprise customers.

The role requires deep expertise in the JavaScript ecosystem (React.js, Node.js, TypeScript) and offers significant growth opportunities. You'll make key technical decisions, establish processes, and own major platform components. Go experience is a plus, as is background in devops/developer tools or open source.

The team brings experience from companies like Figma, AWS, and Red Hat. While primarily remote, they maintain a San Francisco office and organize regular in-person gatherings. Benefits include competitive compensation with both salary and equity, lunch stipend, and work setup budget.

This is an opportunity to join a fast-growing company that's becoming the default choice for secrets management and security infrastructure. The role offers significant technical challenges, direct customer impact, and the chance to help scale the platform to thousands of customers in the next 18 months.

Ideal candidates will combine technical excellence with strong communication skills, as you'll interact directly with enterprise customers. The team values attention to detail, eagerness to learn, and bias toward action - being able to make decisions with incomplete information and iterate quickly.