Staff Software Engineer (Armis)

This is a role for a hardened technical engineer who thrives on complexity and demands architectural excellence. You won't just build connectors; you will design the foundation of our integration layer. You will bridge the gap between legacy security stacks and cutting-edge AI-native agents, creating a unified framework where data interoperability meets autonomous reasoning. You will be a key driver in transforming our integration factory into a self-service, high-performance platform capable of orchestrating security at a global scale. Architect & Lead: Design and evolve highly resilient, distributed integration architectures (APIs, webhooks, streaming data pipelines) that can handle enterprise-scale throughput with sub-par latency. Pioneer AI-Native Systems: Lead the shift from ingestion-only integrations to autonomous security orchestration, integrating LLM-based reasoning and agentic workflows into our core product stack. Technical Excellence: Build scalable libraries and unified data models that allow our platform to "speak the language" of the global security ecosystem. Drive Vision: Partner directly with Product and R&D leadership to prototype and ship high-impact features that solve critical, real-world security challenges. Mentorship & Strategy: Set the technical standard for the engineering organization, mentoring senior engineers and driving code quality, system performance, and innovation across the team.

Experience: 15+ years of deep, hands-on software engineering experience, with a proven track record of designing production-grade, distributed systems. Engineering Mastery: Expert-level proficiency in Python, with a deep understanding of memory management, concurrency models, and performance optimization. Deep Networking: Mastery of networking fundamentals (TCP/IP, L3-L7 protocols) and security infrastructure. System Design: Expert at building highly available, fault-tolerant, and horizontally scalable distributed architectures (Kafka, message queues, microservices). AI/ML Integration: Demonstrated experience or a deep desire to master LLM-powered application development (RAG, agentic workflows, loop engineering). Product-First Mindset: You treat system design as a business problem. You possess the ability to articulate complex technical trade-offs to stakeholders while remaining focused on delivering outsized value to our customers. Education/Background: Preferably MS or Phd in Computer Science or equivalent experience in a highly technical, fast-paced environment.

Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain expo