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Security Engineer, AI Vulnerability Management

Bellevue, WA💼 Full-time💰 $122,000–$122,000🗓 2026-05-26 → 2026-07-31

Core

Build automated vulnerability management systems and AI-assisted workflows to discover, prioritize, and remediate security risks across cloud infrastructure and software environments.

Role type

Security Engineer (AI Vulnerability Management)

Builds

Scalable tooling, integrations, CI/CD guardrails, and dashboards for security operations

Domain

Cloud security, DevSecOps, AI-assisted vulnerability management

Deliverable

production ML models | product features | dashboards & analysis | infrastructure

Required skills

Python or Go, AWS, Kubernetes, vulnerability management (CVSS, exploitability analysis), security tooling (Snyk, Semgrep, Wiz, EndorLabs, TruffleHog)

Preferred skills

None stated

Technologies

Python, Go, AWS, Kubernetes, Snyk, Semgrep, Wiz, EndorLabs, TruffleHog

Responsibilities

Build automation workflows for vulnerability discovery and remediation; Develop tooling connecting findings with infrastructure context; Create CI/CD guardrails to prevent security issues; Support response to high-priority vulnerabilities and zero-day events; Build dashboards translating security findings into operational insights

Seniority

Mid-level, hands-on IC

Rewrite
## Responsibilities - Build and maintain automation workflows that support vulnerability discovery, prioritization, and remediation across cloud and application environments - Develop tooling and integrations that connect vulnerability findings with infrastructure context, runtime data, and threat intelligence signals - Create CI/CD guardrails and developer workflows that help prevent common security issues from reaching production systems - Support the response to high-priority vulnerabilities and zero-day events through analysis, remediation coordination, and exposure assessment - Build dashboards and reporting workflows that translate security findings into clear operational insights for engineering teams and leadership ## Requirements - 3+ years of experience in security engineering, infrastructure security, or security automation roles - Proficiency in Python or Go, including experience building scalable internal tools, APIs, or automation workflows - Experience working with AWS, Kubernetes, or modern cloud-native infrastructure environments - Familiarity with vulnerability management concepts, including CVSS, exploitability analysis, and remediation prioritization - Experience using security tooling such as Snyk, Semgrep, Wiz, EndorLabs, or TruffleHog ## Nice to Have - N/A ## Benefits - Challenging, high-impact work to grow your career. - Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching. - Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents. - Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more. - Employer-paid life & disability insurance, fertility benefits, and mental health benefits. - Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! - Exceptional office experience with catered meals, events, and comfortable workspaces.
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