29 дней назад
Sr. Engineer, Cloud Native - AI Detection and Response (AIDR)
140 000 - 215 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Engineer, Cloud Native - AI Detection and Response (AIDR) (AI/cybersecurity): Architecting and building cloud-native AIDR services that process millions of AI security events per second and manage petabytes of critical AI data with an accent on scalable microservices, platform libraries, and secure distributed systems. Focus on designing high-throughput services, solving complex production and reliability challenges, and building cloud infrastructure with Kubernetes, Docker, REST, gRPC, and cloud platforms.
Location: USA — Sunnyvale, CA; hybrid work with 2–3 days per week on-site
Salary: $140,000–$215,000 per year, plus eligibility for bonuses and equity grants.
Company
CrowdStrike is a cybersecurity company developing an AI-native platform that protects organizations from security threats at large scale.
What you will do
- Architect and build scalable AI Detection and Response cloud services processing millions of security events per second.
- Design and implement microservices, reusable frameworks, and platform components for distributed systems.
- Develop comprehensive tests focused on reliability, accuracy, performance, and security.
- Review code and system designs with emphasis on testability, scalability, and secure development.
- Investigate production incidents, perform root cause analysis, and implement preventive improvements.
- Mentor engineers on secure coding, testing methodologies, and cloud-native development.
Requirements
- 10+ years of software development experience building enterprise-grade products.
- 5+ years of experience developing microservices in cloud-native environments.
- Strong foundations in algorithms, data structures, and distributed systems.
- Expertise in at least one cloud-native programming language: Go, Python, or Java.
- Deep knowledge of cloud architectures, REST, gRPC, Protocol Buffers, PostgreSQL, Redis, Docker, Kubernetes, and at least one major cloud platform.
- Strong debugging skills and experience with cloud monitoring, profiling, and optimization tools.
Nice to have
- Experience in cybersecurity companies or with security-focused products.
- Understanding of AI/ML security threats and mitigation strategies.
- Experience with real-time data processing systems such as Kafka, Pulsar, or Splunk.
- Open-source contributions and additional experience with AWS, OCI, GCP, Azure, Kubernetes, API Gateway, Golang, MS Copilot Ecosystem, or MS Agent Studio.
Culture & Benefits
- Flexible and autonomous work culture focused on responsible AI adoption and innovation.
- Physical and mental wellness programs.
- Competitive vacation and holiday policies.
- Paid parental and adoption leave.
- Professional development opportunities, employee networks, volunteer programs, and office amenities.
- Health insurance, 401(k), paid time off, bonuses, and equity grants.
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