Security Engineer

Posted 6 Days Ago
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San Francisco, CA, USA
In-Office
160K-250K Annually
Entry level
Artificial Intelligence • Software
The Role
Build foundational security systems across cloud infrastructure, identity, application security, observability, and internal platforms. Responsibilities include AWS security guardrails, Terraform-based infrastructure, AI workflow sandboxing, secrets management, identity and access systems, application security, multi-tenant isolation, security monitoring, detection, and incident response. The role requires independent project ownership and strong engineering and security instincts.
Summary Generated by Built In

About Juicebox

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 where you either compete or lose.

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

We are on the path to $100M in ARR with 20%+ monthly growth, powering thousands of searches every day and making Juicebox one of the fastest-growing AI SaaS companies in the world.

Juicebox has raised over $116M in funding from lead investors including Sequoia Capital, DST Global, and NFDG. Read more about our $80M Series B here. Additional investors in Juicebox include Y Combinator, Coatue, Bond, Lux, Verified Capital, and Committed Capital.

About the Role

We’re looking for a Security Engineer to build the security foundation for Juicebox from first principles.

You’ll work directly on the systems that secure our infrastructure, data, and products; designing secure-by-default primitives that scale with the company without slowing engineering down.

You’ll operate across identity, cloud infrastructure, application security, observability, and internal platform systems.

The ideal person has strong security instincts, a bias toward automation, and engineering experience.

You may be a fit if

  • You're passionate about LLMs and securing agentic systems

  • You have strong opinions about building systems that are both secure and developer-friendly.

  • You have battle-tested infrastructure or platform engineering instincts.

  • You think like an attacker and surface security vulnerabilities before they happen

  • You have experience securing systems in fast-paced environments

  • You’re comfortable working without heavy PM overhead; you will take ownership in solving the underlying business goal

Sample projects include

  • Develop sandboxing and secure execution patterns for AI-powered workflows and agents.

  • Implement secure-by-default infrastructure guardrails across AWS using Terraform and GitOps workflows.

  • Build automated systems that reduce operational risk.

  • Create paved-road security tooling that helps engineers ship securely by default.

  • Build a unified identity and access system across internal tooling, infrastructure, and production systems.

  • Design secrets management and credential rotation systems with strong auditing and least-privilege guarantees.

  • Improve application security around authentication, authorization, API protection, and multi-tenant isolation.

  • Build security observability pipelines for logging, detection, and incident response.

What we’re looking for

  • Strong background in application security, infrastructure, DevOps, or platform engineering.

  • Experience designing and shipping production systems end-to-end.

  • Hands-on experience with AWS infrastructure and security primitives (IAM, networking, RDS, etc.).

  • Experience with infrastructure-as-code tools like Terraform.

  • Familiarity with identity systems such as SSO, IAM, or IdPs.

  • Strong communication skills and the ability to drive projects independently.

Bonus Points If You…

  • Interest in AI/LLM security, prompt injection, data poisoning, model extraction, etc. and mitigations.

  • Experience with tools like Wiz, Doppler, or 1Password.

  • Experience with SIEM or security event pipelines.

  • Kubernetes or service mesh security experience.

  • Experience with sandboxing or secure execution environments.

Why this role

  • Build foundational security systems at one of the fastest-growing AI SaaS companies worldwide.

  • Shape systems that will support the next decade of company growth.

  • Work on hard technical problems with real ownership and impact.

  • Join a small team that values speed, autonomy, and strong engineering taste.

Perks & Benefits for all Full Time Employees

  • Top-of-market compensation with meaningful equity, because everyone should share in our success.

  • Daily meals provided: breakfast catering, lunch order via DoorDash corporate, and for those who like to work late, dinner if staying after 7pm

For US Employees:

  • Comprehensive healthcare with 100% employer-paid medical coverage for employees (PPO Platinum plan with $0 deductible). 90% employer contribution for dependents. Dental & Vision: 90% employer covered; 85% for dependents.

  • $2,000 annual wellness stipend to support your physical, mental, and financial well-being.

  • $300/month commuting stipend to help cover the cost of getting to and from the office.

For UK Employees:

  • Comprehensive private medical insurance with £0 excess, full outpatient cover, comprehensive cancer care, mental health treatment, and 24/7 GP access.

  • £1,500 annual wellness stipend to support your physical, mental, and financial well-being

  • £3,500/year commuting stipend to help cover the cost of getting to and from the office.

Skills Required

  • Strong background in application security, infrastructure, DevOps, or platform engineering
  • Experience designing and shipping production systems end-to-end
  • Hands-on experience with AWS infrastructure and security primitives, including IAM, networking, and RDS
  • Experience with infrastructure-as-code tools such as Terraform
  • Familiarity with identity systems such as SSO, IAM, or identity providers
  • Strong communication skills and ability to drive projects independently
  • Interest in AI or LLM security, prompt injection, data poisoning, model extraction, and mitigations
  • Experience with Wiz, Doppler, or 1Password
  • Experience with SIEM or security event pipelines
  • Kubernetes or service mesh security experience
  • Experience with sandboxing or secure execution environments
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The Company
HQ: San Francisco, CA

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