Member of Technical Staff - Distributed Systems
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At a glance
Job overview
Armadin is hiring a Member of Technical Staff - Distributed Systems. Armadin is building autonomous proactive security for the AI era, bringing together engineers, researchers, and hackers to create high‑throughput, low‑latency infrastructure that detects and remediates threats before breaches occur, leveraging AI‑native platforms and scalable production systems.
Key focus areas include Design core systems: architect services, pipelines, and storage engines powering the platform and autonomous agents, Scale for AI: build high‑throughput, low‑latency infrastructure that scales with data, customers, and agentic workloads, and Own production: take end‑to‑end responsibility for reliability, performance, and cost of critical systems.
Important skills include Scalable software systems, Cloud Infrastructure, Kubernetes, Software Development, Collaboration, and Problem Solving. Preferred (not required): Real Time Streaming, Large Scale Storage, AI ML Workloads Infrastructure, and Enterprise Security Products.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
About Us
At Armadin, we're a group of engineers, researchers, and hackers 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 red teamers 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, and MIT to reinvent security for an adversary that never sleeps.
What You'll Do
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Design Core Systems: Architect the services, pipelines, and storage engines powering our platform and autonomous agents.
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Scale for AI: Build high-throughput, low-latency infrastructure that scales with data, customers, and agentic workloads.
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Own Production: Take end-to-end responsibility for the reliability, performance, and cost of critical systems.
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Empower Teams: Build the platforms and tooling that let agentic and product teams ship fast.
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Solve Hard Problems: Go deep on consistency, concurrency, fault tolerance, and latency.
What You'll Bring
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Systems Depth: Strong fundamentals in backend infrastructure and scalable production systems.
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Battle-Testing: Experience operating at scale and navigating failure modes and bottlenecks.
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Execution: You turn ambiguous problems into shipped, rock-solid software.
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Ownership: Comfort spanning architecture to implementation and rollout.
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AI Fluency: You build with AI natively and want to build the infrastructure behind it.
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Collaboration: You work across boundaries and care about the outcome, not just your slice.
Even Better With
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Cloud infrastructure (GCP, AWS, Azure), containers, Kubernetes.
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Real-time streaming and large-scale storage.
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Infrastructure for AI/ML workloads (inference, model serving, data systems).
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Enterprise products built for security, scale, and trust.
Location
In-person in our Palo Alto office.
Benefits & Perks
🏥 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
You've read the whole posting — now see how you match it.