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ServiceNow · San Diego, CA

# Staff Software Engineer - Platform Security

San Diego, California, United States Full-time Senior individual contributor $149,800 - $262,200 Software Engineering 

Listed on ServiceNow’s official careers site. Posted October 27, 2026. Check that it is still open and apply there.
[Apply on ServiceNow’s careers site →](https://jobs.smartrecruiters.com/ServiceNow/744000158141869-staff-software-engineer-platform-security-)

[OpenNash Jobs](https://jobs.opennash.com/) / [ServiceNow](https://jobs.opennash.com/companies/servicenow/) / Staff Software Engineer - Platform Security

## Job description

Platform Security Team Platform Security builds foundational security infrastructure and AI-driven detection systems for enterprise-scale operations. Our mission is to make security proactive, intelligent, and seamlessly integrated into the ServiceNow platform. Outbound Security within Platform Security owns the controls on traffic leaving the ServiceNow platform across multiple domains: egress filtering and policy, outbound proxying, SSRF protection, data exfiltration prevention, and workload egress identity for a SaaS platform.

This is core, regulated-environment security engineering.

### Role Summary

As a Staff AI Security & Outbound Security Engineer, you will architect and deliver enterprise-scale security solutions that integrate outbound security systems with machine learning, reasoning engines, and real-time inference. You will bring deep expertise in network and application egress security, strong technical leadership, and hands-on machine learning depth. You will design and operate intelligent, adaptive security systems for egress control, outbound proxy infrastructure, and exfiltration detection at SaaS scale.

What You Get to Do in This Role
- Design, build, and maintain high-quality, scalable, secure 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. This is a deliberate area we're leveling up as a team
- 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, and separate that from where it's a distraction
- 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

## Qualifications

### Basic Qualifications
- 8+ years of professional software engineering experience; 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. This is assumed, not a differentiator
- 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

### Preferred Qualifications
- Direct experience in outbound/egress security, forward proxies, SSRF mitigation, DNS security, or data loss/exfiltration prevention, including egress gateways, network policy enforcement, or TLS inspection
- AuthN/AuthZ, IAM, Certificates, Identity, secure connectivity and external network topology experience
- Some hands-on AI/ML exposure. Not a research background, but real experience applying ML techniques to security/ops problems (anomaly detection, risk scoring, log/telemetry analysis) or critically integrating LLM tooling into engineering workflows
- Experience with regulated environments (FIPS 140-2/3, FedRAMP, Common Criteria, or similar)
- Exposure to post-quantum cryptography in the context of outbound TLS and secure communications
- Track record mentoring engineers and raising the security bar on a team, not just shipping features For positions in this location, we offer a base pay of $149,800 - $262,200, plus equity (when applicable), variable/incentive compensation and benefits.

Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure.

Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

## At a glance
- Posted by the employer: Oct 27, 2026
- First seen by OpenNash: Oct 31, 2026
- Last checked: Oct 31, 2026
- Listed for: 4 days
- Location: San Diego, California, United States
- Employment type: Full-time
- Pay: $149,800 - $262,200[Apply on ServiceNow’s careers site →](https://jobs.smartrecruiters.com/ServiceNow/744000158141869-staff-software-engineer-platform-security-)

## Hiring at ServiceNow
- Open jobs: 654
- New in the last 7 days: After two weekly collections
- Tracked since: Jul 10, 2026

[All ServiceNow jobs](https://jobs.opennash.com/companies/servicenow/) · [Weekly hiring report](/reports/hiring/)

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