Job Description

Juicebox is on a mission to help teams win the talent war.

In the age of AI, human ingenuity is the ultimate scarce resource. Recruiting is a zero-sum game — you either compete or lose.

Teams at companies like Ramp and Notion, along with leading AI labs, use Juicebox to power their hiring. We support 5,000+ customers ranging from early-stage startups to Fortune 500 companies.

We're on a path to $100M ARR with 20%+ monthly growth, making Juicebox one of the fastest-growing AI SaaS companies in the world.

We've raised $116M+ from top-tier investors including Sequoia, DST Global, NFDG, and Y Combinator.

The Role: Security Engineer

We're looking for a Security Engineer with strong platform instincts to build our security foundation from first principles — across identity, infrastructure, and data systems.

You'll create secure-by-default systems that scale with the company, without slowing down engineering.

What You'll Do

• Design and implement identity and access systems (IdP, IAM-based auth, SSO)

• Centralize and secure secrets management (rotation, least privilege, auditing)

• Build cloud security controls across AWS (data protection, access guardrails)

• Develop security observability pipelines (logging, SIEM, detection)

• Enforce infrastructure security via Terraform / GitOps

• Improve application security (auth, API protection, multi-tenant isolation)

• Partner with engineering to turn security into automated, developer-friendly systems

• Define and execute a security architecture roadmap

Qualifications

• Strong background in platform engineering, DevOps, or cloud security

• Hands-on experience with:

  • AWS (IAM, RDS, networking)

  • Infrastructure-as-code (Terraform)

• Experience building:

  • Identity systems (SSO, IAM, IdP)

  • Secrets management solutions

• Ability to design and ship end-to-end systems

• Strong communication and execution skills

Nice to Have

• Experience with tools like Wiz, Doppler, 1Password

• Familiarity with SIEM / security event pipelines

• Kubernetes or service mesh security

• Experience with sandboxing or secure execution

• Interest in AI / LLM security

Why This Role

• Build the security foundation at a high-growth AI company

• Replace fragmentation with simple, unified systems

• Focus on automation, not policy

• High ownership, fast execution, real impact