Staff Software Engineer (Armis)

Job description

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.

Qualifications

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.