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Описание вакансии
Текст:
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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