Назад
4 дня назад

Sr. Engineer - Risk Platform (Hybrid)

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

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TL;DR
Sr. Engineer - Risk Platform (Hybrid) (Golang, Cybersecurity): Architecting and building a risk intelligence platform with scalable backend services, high-volume data ingestion, and automated remediation across hybrid environments with an accent on distributed systems, AI/ML, and attack path analysis. Focus on designing microservices, real-time data pipelines, risk calculations, and reliable production operations for cybersecurity workloads.

Location: Hybrid in Sunnyvale, California, or Redmond, Washington, USA, with 2–3 days in the office.

Salary: $140,000–$215,000 per year, plus potential bonuses, equity grants, health insurance, 401(k), and paid time off.

Company

CrowdStrike is a cybersecurity company developing an AI-native platform that protects organizations from breaches and processes large-scale security data.

What you will do

  • Design and develop scalable backend services for internal and customer-facing web applications.
  • Build command-line utilities, REST APIs, databases, real-time data pipelines, and monitoring systems.
  • Architect microservices and distributed systems focused on performance, reliability, and high availability.
  • Collaborate with UX/UI, Sensors, and other teams to deliver integrated solutions and documentation.
  • Configure monitoring and alerting, troubleshoot production systems, and support incident response.
  • 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 experience with strongly typed, object-oriented languages; Golang and Python are used primarily.
  • Experience designing microservices, scalable REST APIs, and distributed communication patterns.
  • Knowledge of AWS, Azure, or GCP infrastructure, including provisioning, monitoring, and optimization.
  • Understanding of concurrency, parallel processing, sharding, eventual consistency, caching, Kafka, PostgreSQL, and Redis.
  • Bachelor’s degree in Computer Science or Engineering, or equivalent professional experience, plus strong algorithms, data structures, testing, and system design foundations.

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 environment with an AI-first approach to experimentation and innovation.
  • Comprehensive physical and mental wellness programs.
  • Competitive vacation, holidays, and paid parental and adoption leave.
  • Professional development opportunities for employees at every level.
  • Employee networks, neighborhood groups, volunteer opportunities, and office amenities.

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