обновлено 17 дней назад
Sr. Engineer - Risk Platform (Cybersecurity)
140 000 - 215 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Engineer - Risk Platform (Cybersecurity) (Golang, AI, distributed systems): Architecting and building a risk intelligence platform for attack path analysis, posture scoring, and remediation automation across hosts, cloud infrastructure, and identity assets with an accent on scalable backend services, massive data ingestion, and complex risk calculations. Focus on designing microservices, real-time data pipelines, distributed databases, and reliable monitoring for high-volume cybersecurity systems.
Location: Hybrid in Sunnyvale, California, or Redmond, Washington, with 2-3 days in the office required
Salary: $140,000-$215,000 per year, plus bonuses, equity grants, and benefits
Company
Cybersecurity company building an AI-native platform to protect organizations from breaches and evolving cyber threats.
What you will do
- Design and develop scalable backend services for internal and customer-facing applications.
- Build command-line utilities, REST APIs, databases, real-time data pipelines, and monitoring systems.
- Architect risk intelligence capabilities for attack path analysis, posture scoring, risk compounding, 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 handle proactive maintenance and 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 skills in strongly typed object-oriented languages; Golang and Python are used primarily.
- Experience designing microservices, scalable REST APIs, and distributed communication patterns.
- Strong cloud infrastructure knowledge, preferably AWS, with Azure and GCP experience.
- Understanding of concurrency, parallel processing, sharding, eventual consistency, caching, and scalability patterns.
- Experience with Kafka, SQL/RDBMS databases including PostgreSQL, Redis, testing strategies, code reviews, troubleshooting, algorithms, data structures, and system design.
Nice to have
- Machine learning or AI implementation experience.
- Elasticsearch, Cassandra/CQL, or graph database experience.
- Cybersecurity industry experience or relevant certifications.
- Docker and Kubernetes experience.
- Open source contributions or technical community involvement.
Culture & Benefits
- Health insurance, 401(k), paid time off, competitive vacation, and holidays.
- Paid parental and adoption leave.
- Physical and mental wellness programs.
- Professional development opportunities for all employees.
- Employee networks, neighborhood groups, volunteer opportunities, and office amenities.
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