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1 день назад

Senior Software Engineer (Cybersecurity, AI)

190 800 - 267 100$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Senior Software Engineer (Cybersecurity, AI): Designing, building, and operating high-scale, low-latency systems to protect hirify.global from DDoS attacks, bots, and automated abuse with an accent on ingress-level defenses and real-time malicious traffic mitigation. Focus on microservices architecture, integrating applied machine learning models for traffic classification, and ensuring system reliability.

Location: Remote (US) or Onsite in New York City, NY

Salary: $190,800–$267,100 USD

Company

hirify.global is a large online platform built on shared interests, passion, and trust, providing an open space for authentic conversations with over 100,000 active communities.

What you will do

  • Design, build, and operate high-scale, low-latency systems for DDoS and abuse protection.
  • Analyze and evolve ingress-level defenses across CDN, edge, and internal infrastructure layers.
  • Develop systems for real-time detection, scoring, and mitigation of malicious traffic.
  • Contribute to ML-at-Ingress initiatives, including traffic classification and anomaly detection models.
  • Own services end-to-end, covering design, implementation, and operational excellence.
  • Participate in incident response and post-incident analysis for large-scale network or abuse events.

Requirements

  • 5+ years of experience building and operating high throughput and low latency production distributed systems.
  • Software development experience in one or more general purpose programming languages (Python, Go, Rust, Java, C++).
  • Excellent communication skills to collaborate with a service-oriented team and company.
  • Experience with DDoS mitigation, WAFs, bot management, or abuse prevention systems.
  • Experience with networking fundamentals (HTTP, TLS, TCP/IP, proxies, CDNs, load balancing).

Nice to have

  • Prior experience with cloud infrastructure systems (Kubernetes, AWS / GCE ecosystems).
  • Familiarity with ML systems in production, especially real-time inference or feature pipelines.
  • Knowledge of traffic analysis, anomaly detection, or large-scale telemetry systems.

Culture & Benefits

  • Comprehensive Healthcare Benefits and Income Replacement Programs.
  • 401k with Employer Match.
  • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support.
  • Flexible Vacation & Paid Volunteer Time Off.
  • Generous Paid Parental Leave.
  • Support for Family Planning, Gender-Affirming Care, Mental Health & Coaching Benefits.

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