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Closed on October 25, 2026.
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Lead Application Security Engineer, Code to Cloud
Ai Security
Application Security
Cloud Security
Cybersecurity Tools
DevSecOps
Dynamic Application Security Testing
Information Security
InfoSec
Security As Code
Security Automation
Security Standards
Security Testing
Software Security
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Job Description
Own application security end to end across the delivery lifecycle, from source code and CI/CD to cloud runtime.
Responsibilities
- Own the scanning and posture platform end to end across secrets, SAST, SCA, infrastructure-as-code, container images, and cloud runtime, maintaining a false-positive rate engineers trust.
- Build automation to route, deduplicate, and prioritize findings, with owner resolution, SLA tracking, and closure verification.
- Build and run policy-based blocking controls in pull requests and CI/CD pipelines using policy-as-code centrally, scoped to repository tiering so coverage inherits to future repositories.
- Turn a gate on only when the baseline is triaged and false positives are under the bar, and ensure teams have a path forward when controls apply.
- Author application security standards, secure design patterns, and remediation SLAs the organization builds against.
- Own the exception and risk-acceptance workflow and report on risk reduced rather than finding counts.
- Make threat modeling repeatable through templates and AI-assisted triage, producing testable requirements.
- Participate in architecture and design reviews with principal engineers and make security decisions in-room, including token versus service identity needs, authorization patterns for list endpoints, and preventing services from taking authorization attributes from callers.
- Review third-party integrations before production.
- Set the technical bar by coaching and reviewing the security work of a champions network and third-party testing partners, and mentoring engineers added to the team.
- Be the point of contact engineering calls for explaining what a finding means and does not mean, supporting same-day responses for blocked developers.
- Own security testing of the running application (not only source), coordinate remediation with developers, and verify outcomes on retest.
- Lead response when a critical vulnerability or exploit is identified.
- Lead security integration of acquired engineering environments by bringing repositories, pipelines, and cloud accounts under coverage without stalling delivery.
Requirements
- 8+ years in application security, product security, DevSecOps, or security engineering, with most experience hands-on versus advisory.
- Hands-on experience owning an enterprise-scale security program across multiple teams and stakeholders with limited oversight, including setting standards others follow and reviewing other engineers’ work.
- Depth in a cloud-native application protection or application security posture platform, such as Wiz, Snyk, Prisma Cloud, or Orca, including writing policy and building on its API.
- Shipped pipeline enforcement: policy-based blocking in pull requests and CI/CD, security policy-as-code, and practical experience moving from advisory to blocking without engineering revolt.
- Threat modeling experience applied to real systems, using STRIDE or an equivalent, extended with MITRE ATLAS and LLM risk taxonomies for AI-enabled systems.
- Architecture-level security judgment for distributed authorization design: trust boundaries, token validation, service-to-service identity, and object-level access control.
- Approachable and constructive under pressure, able to identify launch risks without becoming a workaround driver.
- Automation-first, AI-forward approach, including a defensible view on securing AI itself: validating AI-generated code and agentic risk such as prompt injection, tool permissions, and the MCP supply chain.
- Dynamic testing of running applications and APIs using DAST, API security testing, or hands-on offensive work, plus cloud security depth in a major public cloud ( Google Cloud preferred).
- Coding ability in Python, Go, or TypeScript, with writing that is tight and evidence-backed.
Technologies
- Wiz
- Snyk
- Prisma Cloud
- Orca
- STRIDE
- MITRE ATLAS
- Python
- Go
- TypeScript
- Google Cloud
- DAST
- MCP
Benefits
- Annual performance bonus
- 401(k) with employer match
- Medical, dental, and vision insurance
- PTO, company holidays, and parental leave
- Paid Time Off/Paid Sick Leave (15 days of paid time off during first year; increased accruals after five years)
- Paid training and certifications
- Legal assistance and identity protection
- Pet insurance
- Employee assistance program (EAP)
Education & Certifications
- Bachelor’s in computer science, information assurance, MIS, or equivalent practical experience; advanced degree preferred.
- Google Cloud certifications preferred, particularly Professional Cloud Security Engineer, DevOps Engineer, or Architect.
- CSSLP, GWAPT, OSWE, or OSCP a plus.
Compensation
- Base pay range: $101,300 - $172,000 per yearly
- Annual performance bonus
Location: Vancouver, WA (onsite)