Staff Software Engineer (Armis)

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

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.

Responsibilities

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.

Requirements

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.