Member of Technical Staff
Armadin, Palo Alto, CA, United States
Armadin is an AI-native cybersecurity company building the ultimate attacker: an autonomous, agentic AI system that continuously finds and eliminates exploitable risk before adversaries do. We are redefining cybersecurity for the era of AI-driven Hyperattacks, deploying a fleet of specialized AI agents that reason, plan, and adapt like elite red team operators: at machine speed, at enterprise scale.
About the Role
We are looking for a Member of Technical Staff to join our engineering team in Palo Alto. You will help design and build the backend infrastructure and AI platform that power our agentic attacker: writing production Python, architecting distributed systems, and working alongside AI researchers and security experts to ship technology that doesn't exist anywhere else.
Responsibilities
Design and build scalable backend services, APIs, and data pipelines that are core to Armadin's platform.
Own and evolve cloud infrastructure: deploying, scaling, and operating services reliably across global enterprise environments.
Drive observability, performance, and reliability improvements across a high-stakes production platform.
Contribute to CI/CD pipelines, developer tooling, and infrastructure-as-code practices.
AI Platform
Build the systems that enable AI agents to reason, plan, and act continuously: including orchestration layers, job scheduling, and state management.
Collaborate with AI researchers to integrate and serve models efficiently, optimizing for latency and throughput at scale.
Contribute to LLM tooling, inference infrastructure, and evaluation frameworks that measure agent quality and behavior.
Participate in architecture reviews and shape technical direction on a small, high-ownership team.
Mentor engineers and help build a culture of engineering rigor, craftsmanship, and quality.
Qualifications
5+ years of software engineering experience in a production environment.
Solid backend fundamentals: distributed systems, REST/gRPC APIs, databases, and cloud platforms (AWS, GCP, or Azure).
Experience with containerized deployments and modern CI/CD practices.
Familiarity with AI/ML workflows: working alongside ML teams or integrating model outputs into product systems.
Strong communicator with a bias toward ownership in fast-moving, high-ambiguity environments.
Required Skills
Experience building agentic AI systems, LLM pipelines, or autonomous agent orchestration.
Hands-on with model serving frameworks such as vLLM, TorchServe, or Triton.
Infrastructure-as-code experience (Terraform, Pulumi).
Experience with orchestration tools: Kubernetes, Ray, Temporal, or Airflow.
Background in high-compliance or security-sensitive engineering environments.
Prior work at an AI-native or early-stage company.
Pay range and compensation package
Competitive salary and equity in one of the fastest-growing companies in cybersecurity. Full health, dental, and vision coverage. In-office culture at our Palo Alto HQ: work alongside a world-class team every day. Learning and conference budget.
Equal Opportunity Statement
We are committed to diversity and inclusivity.
#J-18808-Ljbffr
About the Role
We are looking for a Member of Technical Staff to join our engineering team in Palo Alto. You will help design and build the backend infrastructure and AI platform that power our agentic attacker: writing production Python, architecting distributed systems, and working alongside AI researchers and security experts to ship technology that doesn't exist anywhere else.
Responsibilities
Design and build scalable backend services, APIs, and data pipelines that are core to Armadin's platform.
Own and evolve cloud infrastructure: deploying, scaling, and operating services reliably across global enterprise environments.
Drive observability, performance, and reliability improvements across a high-stakes production platform.
Contribute to CI/CD pipelines, developer tooling, and infrastructure-as-code practices.
AI Platform
Build the systems that enable AI agents to reason, plan, and act continuously: including orchestration layers, job scheduling, and state management.
Collaborate with AI researchers to integrate and serve models efficiently, optimizing for latency and throughput at scale.
Contribute to LLM tooling, inference infrastructure, and evaluation frameworks that measure agent quality and behavior.
Participate in architecture reviews and shape technical direction on a small, high-ownership team.
Mentor engineers and help build a culture of engineering rigor, craftsmanship, and quality.
Qualifications
5+ years of software engineering experience in a production environment.
Solid backend fundamentals: distributed systems, REST/gRPC APIs, databases, and cloud platforms (AWS, GCP, or Azure).
Experience with containerized deployments and modern CI/CD practices.
Familiarity with AI/ML workflows: working alongside ML teams or integrating model outputs into product systems.
Strong communicator with a bias toward ownership in fast-moving, high-ambiguity environments.
Required Skills
Experience building agentic AI systems, LLM pipelines, or autonomous agent orchestration.
Hands-on with model serving frameworks such as vLLM, TorchServe, or Triton.
Infrastructure-as-code experience (Terraform, Pulumi).
Experience with orchestration tools: Kubernetes, Ray, Temporal, or Airflow.
Background in high-compliance or security-sensitive engineering environments.
Prior work at an AI-native or early-stage company.
Pay range and compensation package
Competitive salary and equity in one of the fastest-growing companies in cybersecurity. Full health, dental, and vision coverage. In-office culture at our Palo Alto HQ: work alongside a world-class team every day. Learning and conference budget.
Equal Opportunity Statement
We are committed to diversity and inclusivity.
#J-18808-Ljbffr