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11 дней назад

Senior Software Engineer (Agentic AI Security)

125 000 - 150 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Software Engineer (Agentic AI Security) (Go/Python/eBPF/Kubernetes): Building tools to discover, distinguish, and secure agentic AI workloads running on Kubernetes and other hosts with an accent on traffic interception, policy enforcement, and observability. Focus on designing runtime protection, kernel-level enforcement, workload detection, and production systems for fast-moving cloud-native security challenges.

Location: Vancouver, Canada (Hybrid)

Salary: CAD $125,000–$150,000

Company

hirify.global develops cloud-native security, networking, visibility, and workload governance products, including Calico and Lynx.

What you will do

  • Build tools that discover and distinguish agentic AI workloads from standard workloads.
  • Secure AI agents running on Kubernetes and other hosts through kernel-level controls and gateways.
  • Develop traffic interception, policy enforcement, and observability capabilities.
  • Take technical concepts from prototypes to production-ready systems.
  • Work with eBPF, Go, Python, Cedar, agentgateway, OpenTelemetry, and ClickHouse.

Requirements

  • 5+ years of software engineering experience with a record of shipping and supporting production code.
  • Strong proficiency in one or more of Go, C, C++, Rust, or Python.
  • Working knowledge of Kubernetes and containers, including workload deployment, networking, and security.
  • Understanding of Linux systems and networking across hosts, virtual machines, and cloud infrastructure.
  • Ability to own features end to end and solve open-ended technical problems in a fast-moving product environment.
  • Computer science degree or equivalent practical experience.

Nice to have

  • Experience with Envoy, Istio, Kubernetes Gateway API, or AI Gateway implementations.
  • Background in detection, discovery, asset inventory, traffic analysis, workload fingerprinting, or runtime telemetry.
  • Experience with eBPF, AI/ML systems, data pipelines, analytics, MCP, A2A, zero-trust networking, or workload identity.
  • Open-source contributions in the cloud-native ecosystem.

Culture & Benefits

  • Collaborative, agile, engineering-focused environment with emphasis on diversity, learning, and innovation.
  • Flexible workplace based on respect, openness, collaboration, and teamwork.
  • Full health, vision, and dental benefits.
  • Offices in San Francisco, San Jose, Vancouver, Cork, and London.

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