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Staff Application Security Engineer

BambooHR Draper, UT 🇺🇸 Remote

Draper, UT

Today

Full time Agentic Ai Security Agentic Integrations Ai Agent Security

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Job Description

BambooHR is hiring a Staff Application Security Engineer to lead application security for AI features and agentic systems, with a focus on standards, reviews, and SDLC integration.

Responsibilities

Lead security reviews and threat models for AI features and agentic systems, including autonomous agents, MCP servers, and third-party integrations
Maintain and update review playbooks and quality criteria as threat landscapes evolve
Set BambooHR security standards for AI agents covering:
- Identity and delegated authorization
- Tenant- and user-scoped data access
- Safe handling of tool output
- Tool supply chain risk
- Human-approval requirements
Own agent designs used by the security team for validation, triage, review assistance, and remediation
Build and ship agent-assisted capabilities with clear evaluation criteria, bounded permissions, and human approval gates for high-impact actions
Support developers and security champions with self-serve guidance and tooling, and advocate for engineering investment needed to operationalize work
Embed AppSec requirements into the SDLC with design-time and release-time gates for AI features
Make agent-assisted code review, finding validation, and fix suggestions a default part of CI/CD pipelines with blocking criteria and a fast exception path
Run AppSec programs across teams and quarters by setting goals, milestones, and success metrics; managing a lightweight intake and prioritization cadence; coordinating dependencies across engineering, product, and operations; and reporting progress, risks, and tradeoffs to leadership
Represent AppSec in architecture forums, harmonize security requirements to reduce duplicated effort, serve as an escalation point, and coach leaders on security tradeoffs
Partner with Legal, Privacy, and GRC to apply AI governance through guardrails and automation, including for emerging AI regulations
Train and coach software engineers and engineering teams on secure design and threat modeling, with emphasis on authentication, authorization, multi-tenancy, and AI features
Mentor security engineers on technical direction and career growth; close skill gaps through onboarding, training, and mentorship
Participate in an on-call rotation as needed to support incident response and resolve escalated security issues

Requirements

Bachelor’s degree in Computer Science, Information Security, or related field, or equivalent practical experience
8+ years of experience in security, including 5+ years hands-on application security experience
Experience securing multi-tenant SaaS platforms, including tenant isolation
Cloud and infrastructure security experience (e.g., AWS, Azure, GCP)
Hands-on experience building AI agents or agentic workflows, including concrete examples of permissions, failures, and validation (production systems, internal tools, personal or open-source projects, and substantial prototypes all count)
Demonstrated ability to evaluate security of AI and agentic systems, including:
- Prompt injection
- Tool and context poisoning
- Excessive agency
- Delegated authorization
- Data leakage
- Supply-chain risk in models and tools
Familiarity with OWASP Top 10 for LLM Applications, OWASP Top 10 for Agentic Applications, or comparable frameworks
Ability to design evaluations for agentic workflows covering task success, false positives and negatives, adversarial cases, and regression checks
Proven experience leading threat modeling (e.g., STRIDE, attack trees) and design reviews for complex applications and APIs
Deep understanding of web application and API security, including authentication and authorization (OAuth 2.0 scopes and delegation, OpenID Connect, token audience and validation), session management, and access control models
Strong software engineering skills in at least one language (e.g., Python, TypeScript, PHP), including testing and maintaining tools others depend on
Track record of influencing without authority through cross-team initiatives, business cases, and clear communication of technical risk to engineering, product, legal, and leadership audiences
Experience mentoring engineers, formally or informally
Sound judgment in ambiguous situations, including the ability to explain tradeoffs, recommend mitigations, and bring risk-acceptance decisions to the right owner

Technologies

AWS
Azure
GCP
Python
TypeScript
PHP
OAuth 2.0
OpenID Connect
OWASP Top 10 for LLM Applications
OWASP Top 10 for Agentic Applications
STRIDE
MCP servers

Benefits

Comprehensive health, life, and disability insurance
Generous leave policies including 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off
401k plans with up to 6% company match
$2000 Paid-Paid Vacation bonus
EAP through Headspace

What Would Make You Stand Out

Experience securing MCP servers and gateways
Experience securing AI coding assistants or developer agent tooling at organizational scale, or integrating AI-driven security checks into CI/CD pipelines
Familiarity with AI governance and SaaS compliance frameworks (e.g., NIST AI RMF, ISO/IEC 42001, EU AI Act, SOC 2, ISO 27001)
Relevant security certifications (e.g., CSSLP, OSWE, GWAPT)
Experience building or running security champions programs, such as recruiting and training champions or embedding security advocates in engineering teams

Location and Employment Notes

Location: Draper, UT (remote)
This is a remote position available in the state listed on the job
Employment with BambooHR is contingent on passing both a background and credit check

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