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обновлено 5 дней назад

Sr. Engineer - Risk Platform (Cybersecurity)

140 000 - 215 000$
Формат работы
hybrid
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

Текст:
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TL;DR
Sr. Engineer - Risk Platform (Cybersecurity): Building a foundational risk intelligence platform and scalable backend services for attack path analysis, posture scoring, and remediation automation across hybrid environments with an accent on Golang microservices, high-volume data processing, and AI-driven security insights. Focus on designing distributed systems, real-time data pipelines, complex risk calculations, and highly reliable production services.

Location: Sunnyvale, California, USA; hybrid work with 2–3 days per week in the office

Base salary: $140,000–$215,000 per year, with eligibility for bonuses, equity grants, and benefits.

Company

CrowdStrike is a cybersecurity company building an AI-native platform to prevent breaches and protect organizations through large-scale distributed systems.

What you will do

  • Architect and develop scalable backend services for internal and customer-facing applications.
  • Build command-line utilities, APIs, databases, real-time data pipelines, and monitoring systems.
  • Develop risk intelligence capabilities for risk compounding, attack path analysis, posture scoring, and remediation automation.
  • Collaborate with UX/UI, Sensors, and other teams to deliver integrated solutions and documentation.
  • Configure monitoring and alerting, maintain high availability, and respond proactively to incidents.
  • Drive architectural improvements, optimize performance, mentor junior engineers, and contribute to technical decisions.

Requirements

  • 8–10 years of production experience building and maintaining large-scale distributed systems processing high-volume data.
  • Advanced programming skills in strongly typed object-oriented languages, especially Golang and Python.
  • Experience designing microservices, scalable REST APIs, distributed communication patterns, and resilient architectures.
  • Knowledge of AWS, Azure, or GCP infrastructure, plus distributed systems concepts such as concurrency, sharding, eventual consistency, and caching.
  • Experience with Kafka, SQL/RDBMS systems such as PostgreSQL, and distributed caching solutions such as Redis.
  • Bachelor’s degree in Computer Science or Engineering, or equivalent professional experience, with strong algorithms, data structures, testing, troubleshooting, and system design skills.

Nice to have

  • Machine learning or AI implementation experience.
  • Elasticsearch, Cassandra/CQL, or graph database experience.
  • Cybersecurity industry experience or relevant certifications.
  • Docker, Kubernetes, open-source contributions, or technical community involvement.

Culture & Benefits

  • Flexible and autonomous work culture with an emphasis on responsible AI adoption and innovation.
  • Health and wellness programs, paid parental and adoption leave, vacation, and holidays.
  • Professional development opportunities, employee networks, volunteer opportunities, and office amenities.
  • Health insurance, 401(k), paid time off, bonuses, and equity grants.

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