Senior AI Security & Outbound Engineer (Kubernetes SaaS)

Servicenow; San Diego (CA); Hybride; USD 150 000 - 262 000; Plein temps

Avantages offerts par ce poste

Health plans

401(k) Plan with company match

ESPP

Matching donations

Flexible time away plan

Résumé du poste

ServiceNow is seeking a Staff AI Security & Outbound Security Engineer in San Diego to architect and deliver enterprise-scale security solutions that integrate outbound security with ML and real-time inference. You will lead security-focused engineering across egress, proxies, and SSRF protections at SaaS scale.

You will mentor engineers, collaborate with product and platform teams, and stay ahead of evolving security threats while aligning with regulatory requirements.

Qualifications

• 8+ years of professional software engineering experience with Java, Go, or a comparable strongly-typed language at production scale.
• Strong CS fundamentals: data structures, algorithms, OO design, distributed systems tradeoffs.
• Production experience running services on Kubernetes (deployments, Helm, CI/CD) in a SaaS/multi-tenant environment.
• Working understanding of core network and application security concepts (TCP/IP, DNS, HTTP, TLS/PKI fundamentals, proxies, firewalls, allowlisting/denylisting).
• Demonstrated security-first engineering habits: secure coding practices, threat modeling, code review discipline.

Responsabilités

• Design, build, and maintain high-quality, scalable outbound security services meeting FIPS compliance and regulated-environment requirements.
• Architect and operate mission-critical egress services with reliability and security as first-class design constraints, not afterthoughts.
• Own services end-to-end on Kubernetes in a multi-tenant SaaS environment: deployment, scaling, on-call, incident response.
• Bring a security mindset to every design review: threat model the feature, not just the happy path.
• Evaluate where AI/ML has a legitimate role in outbound security, such as anomaly detection in egress traffic, ML-assisted destination risk scoring, and AI-assisted code review for SSRF and unsafe outbound-request patterns.
• Collaborate with product owners, security architects, and platform teams to translate compliance and security requirements into working outbound security frameworks.
• Mentor engineers on secure coding, outbound-request pitfalls (SSRF, DNS rebinding, open redirects, unrestricted egress), and design review rigor.
• Stay current on evolving exfiltration techniques and egress-security advancements, including post-quantum readiness for outbound TLS, and bring that forward before it's a compliance deadline.

Connaissances

8+ years software engineering

CS fundamentals

Kubernetes in SaaS

Networking & security concepts

Security-first engineering

Outils

Kubernetes (K8s)

Helm

CI/CD

Description du poste

ServiceNow is seeking a Staff AI Security & Outbound Security Engineer in San Diego to architect and deliver enterprise-scale security solutions that integrate outbound security with ML and real-time inference. You will lead security-focused engineering across egress, proxies, and SSRF protections at SaaS scale.

You will mentor engineers, collaborate with product and platform teams, and stay ahead of evolving security threats while aligning with regulatory requirements.