Member of Technical Staff - Distributed Systems

Description

At Armadin, we're a group of engineers, researchers, and security researchers on a mission to redefine what proactive security can do in the AI era. Cyberattacks are becoming autonomous and relentless and we believe defending against threats before they materialize is one of the most powerful ways to protect the institutions the world depends on.

We're building autonomous proactive security from the ground up, reinforcing the tradecraft of elite security practioners into purpose-built security models and agents that discover risk and remediate it before organizations are breached.

Led by Kevin Mandia, founder of Mandiant ($5.4B exit to Google), our team brings together researchers and engineers from Google, xAI, Meta, Stanford, Georgia Tech, Waterloo, Berkeley, and MIT to reinvent security for an adversary that never sleeps.

Responsibilities

• Design Core Systems: Architect the services, pipelines, and storage engines powering our platform and autonomous agents.
• Scale for AI: Build high-throughput, low-latency infrastructure that scales with data, customers, and agentic workloads.
• Own Production: Take end-to-end responsibility for the reliability, performance, and cost of critical systems.
• Empower Teams: Build the platforms and tooling that let agentic and product teams ship fast.
• Solve Hard Problems: Go deep on consistency, concurrency, fault tolerance, and latency.
• What You'll Bring
• Systems Depth: Strong fundamentals in backend infrastructure and scalable production systems.
• Battle-Testing: Experience operating at scale and navigating failure modes and bottlenecks.
• Execution: You turn ambiguous problems into shipped, rock-solid software.
• Ownership: Comfort spanning architecture to implementation and rollout.
• AI Fluency: You build with AI natively and want to build the infrastructure behind it.
• Collaboration: You work across boundaries and care about the outcome, not just your slice.
• Even Better With
• Cloud infrastructure (GCP, AWS, Azure), containers, Kubernetes.
• Real-time streaming and large-scale storage.
• Infrastructure for AI/ML workloads (inference, model serving, data systems).
• Enterprise products built for security, scale, and trust.

Conditions

In-person in our Palo Alto office.

Benefits

• Full Health, Dental, & Vision Coverage
• Meaningful Equity Ownership
• In-Office Meals
• Haircuts at the Office
• Company Sponsored Conferences & Events
• 401(k), HSA, and FSA Plans
• Flexible PTO