Member of Technical Staff - Distributed Systems

Armadin

Palo Alto, CA

On-site

Who this role is best for

Geared toward systems engineers comfortable with building scalable infrastructure for AI workloads, with a strong emphasis on in-office collaboration and ownership of production systems.

Best fit for

Systems engineers with experience in building large-scale distributed systems for AI/ML workloads
— “Build high-throughput, low-latency infrastructure that scales with data, customers, and agentic workloads.”
Candidates who have operated systems at scale and handled failure modes and bottlenecks
— “Experience operating at scale and navigating failure modes and bottlenecks.”

Things to consider

In-office presence is required in Palo Alto, with no mention of remote flexibility
— “In-person in our Palo Alto office.”
The role demands a high degree of autonomy and initiative in solving complex technical problems
— “You turn ambiguous problems into shipped, rock-solid software.”

How to stand out

Highlight experience with AI/ML infrastructure, such as model serving or data systems
— “Infrastructure for AI/ML workloads (inference, model serving, data systems).”
Showcase projects where you designed and operated scalable backend systems
— “Design Core Systems: Architect the services, pipelines, and storage engines powering our platform and autonomous agents.”
Emphasize your ability to take full ownership of systems from architecture to deployment
— “Take end-to-end responsibility for the reliability, performance, and cost of critical systems.”
Demonstrate your ability to work across teams and deliver results in collaborative settings
— “You work across boundaries and care about the outcome, not just your slice.”
Showcase your ability to solve complex problems in consistency, concurrency, and fault tolerance
— “Solve Hard Problems: Go deep on consistency, concurrency, fault tolerance, and latency.”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

design core systems
build high-throughput, low-latency infrastructure
own production
empower teams
solve hard problems

Typical background

strong fundamentals in backend infrastructureexperience operating at scaleturn ambiguous problems into shipped software

Skills & requirements

Required

Backend InfrastructureScalable Production SystemsCloud InfrastructureContainersKubernetesAI Fluency

Preferred

Real-time StreamingLarge-scale StorageInfrastructure For Ai/ml Workloads

Stack & domain

Backend InfrastructureScalable Production SystemsCloud Infrastructure (gcp, AWS, Azure)ContainersKubernetesReal-time StreamingLarge-scale StorageInfrastructure For Ai/ml Workloads (inference, Model Serving, Data Systems)LeadershipProblem-solvingCommunicationTeamworkSecurityAI

About the role

Original posting from Armadin via Ashby

About Us
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.
What You'll Do
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.
Location
In-person in our Palo Alto office.
Benefits & Perks | FTE
🏥 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

Source: Armadin careers (Ashby)