Senior Full-Stack Engineer for AI Security Platform - Remote

Infisical; United States; Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Equity options

Lunch stipend

Work setup budget

Remote team with SF presence

Job summary

Infisical is seeking a Senior Full Stack Engineer to help build, optimize, and expand the platform’s foundation. You’ll tackle a broad range of challenges, including secret rotation strategies, secure access gateways, and integrations across cloud providers, collaborating with the CTO and engineering team.

You will work on Infisical PKI, PAM, and KMS product lines, and explore AI applications in security infrastructure while maintaining high quality and rapid iteration in a remote, globally

Qualifications

• Deep technical mastery of the JavaScript ecosystem, particularly React.js, Node.js, and TypeScript (3+).
• Exceptional attention to detail and eager to learn.
• A bias toward action—able to make decisions with incomplete information, iterate quickly, and take calculated risks.
• Based in the Americas (US or Canada), Brazil, India, UK, or EU. Must work US hours.

Responsibilities

• Develop and maintain features whilst communicating directly with enterprise customers.
• Expand our newer Infisical PKI, Infisical PAM, and Infisical KMS product lines.
• Experiment with novel approaches for applying AI to secrets management and more broadly security infrastructure.

Skills

JS ecosystem (React.js, Node.js, TypeS

Go

DevOps familiarity

Open source experience

Startup experience

Excellent communication

Job description

Infisical is seeking a Senior Full Stack Engineer to help build, optimize, and expand the platform’s foundation. You’ll tackle a broad range of challenges, including secret rotation strategies, secure access gateways, and integrations across cloud providers, collaborating with the CTO and engineering team.

You will work on Infisical PKI, PAM, and KMS product lines, and explore AI applications in security infrastructure while maintaining high quality and rapid iteration in a remote, globally