CrowdStrike предлагает старшую инженерную роль в крупной платформе кибербезопасности с современным стеком и заметной технической ответственностью; главный минус - зарплата не указана.
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Зарплата не указанаСовременный стекЧёткая зона ответственностиКибербезопасностьХороший пакет льгот
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Текст:
Hirify AI/Оригинал
TL;DR
Sr. Engineer - Risk Platform (Cybersecurity/Golang): Building a foundational risk intelligence platform and scalable backend services for exposure management, processing high-volume data across hosts, cloud infrastructure, and identity assets with an accent on microservices, AI, machine learning, and distributed systems. Focus on designing risk calculations, attack path analysis, posture scoring, real-time data pipelines, and intelligent remediation automation while ensuring production reliability.
Location: Remote, Ireland - Dublin
Company
CrowdStrike is a global cybersecurity company building an AI-native platform to prevent breaches and protect organizations.
What you will do
Design and develop scalable backend services for internal and customer-facing web applications, focusing on performance and reliability.
Build command-line utilities, REST APIs, databases, real-time data pipelines, monitoring, alerting, and supporting infrastructure.
Architect and develop risk intelligence capabilities including risk compounding, attack path analysis, and posture scoring across hybrid environments.
Collaborate with UX/UI, Sensors, and other teams to deliver integrated solutions with comprehensive documentation.
Maintain high availability, troubleshoot complex distributed systems, respond to incidents, and drive architectural and performance improvements.
Mentor junior engineers and contribute to technical decisions, priorities, and product scope.
Requirements
8–10 years of production experience building, delivering, and maintaining large-scale distributed systems processing high-volume data.
Advanced programming expertise in strongly typed object-oriented languages; Golang and Python are primarily used.
Experience designing microservices, scalable REST APIs, and distributed communication patterns.
Strong cloud infrastructure knowledge with AWS preferred, plus Azure and GCP, including provisioning, monitoring, and optimization.
Understanding of concurrency, parallel processing, sharding, eventual consistency, caching strategies, and other distributed-systems scalability patterns.
Kafka experience covering message design, throughput estimation, lag monitoring, and performance considerations.
Experience using AI technologies to improve decision-making, workflows, efficiency, and business outcomes.
Experience with RDBMS/SQL, preferably PostgreSQL, and distributed caching solutions such as Redis.
Experience troubleshooting complex distributed architectures with a focus on performance and reliability, including testing strategies, code reviews, and resilient architecture design.
Ability to mentor junior engineers and contribute to technical decisions; strong foundations in algorithms, data structures, and system design.
Bachelor’s degree in Computer Science or Engineering, or equivalent professional experience.
Nice to have
Machine learning or AI implementation experience.
Elasticsearch experience for full-text search of logs and event data.
Cassandra and CQL experience with wide-column databases.
Graph database knowledge and experience with graph structures, including nodes, edges, and relationships.
Cybersecurity industry experience or relevant certifications.
Docker and Kubernetes experience.
Open-source contributions or technical community involvement.
Culture & Benefits
Flexible and autonomous work culture with an emphasis on responsible AI adoption, experimentation, and innovation.
Competitive compensation and equity awards.
Physical and mental wellness programs, competitive vacation, and holidays.
Paid parental and adoption leave.
Professional development opportunities for employees at all levels.
Employee networks, geographic neighborhood groups, volunteer opportunities, and office amenities.
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