5 дней назад
Principal Software Engineer (Threat Data Platform)
156 400 - 253 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Principal Software Engineer (Threat Data Platform) (Java/Python/Cloud): Building AI-driven threat intelligence tools, high-throughput data pipelines, scalable data warehouses, and APIs for security researchers with an accent on threat data processing, cloud infrastructure, and backend architecture. Focus on designing high-availability data services, integrating complex database architectures, and scaling threat models across the product ecosystem.
Location: Santa Clara, San Francisco, or San Jose, California, United States. Most teams work from the office full time, with flexibility when needed.
Annual base salary: $156,400–$253,000, depending on qualifications, experience, and work location. Additional compensation may include restricted stock units and a bonus.
Company
Cybersecurity company developing technologies to protect digital environments and prevent cyberattacks.
What you will do
- Develop backend features and core components from architecture and testing through deployment and maintenance.
- Design and optimize high-throughput ETL/ELT pipelines that transform complex threat data into actionable intelligence.
- Build and maintain high-performance data warehouses and scalable APIs for internal security researchers.
- Work with cross-functional stakeholders to turn complex requirements into scalable technical solutions.
- Lead code and design reviews and contribute to architectural roadmaps and engineering best practices.
Requirements
- Bachelor’s or master’s degree in computer science, a related technical field, or equivalent practical experience.
- 5+ years of experience building large-scale enterprise applications and high-availability data APIs.
- Professional-level Java proficiency, strong RESTful API design skills, and experience with Python for data manipulation.
- Experience with GCP or AWS managed cloud services, Linux, and shell scripting.
- Knowledge of SQL, NoSQL, time-series, and graph databases.
- Experience with Kubernetes environments and modern CI/CD workflows.
Nice to have
- Experience building analytical solutions and optimizing pipelines for machine learning or AI-driven insights.
- Experience with Pub/Sub, Kafka, Dataflow, Spark, BigQuery, or Bigtable, especially on GCP.
- Experience using graph databases for threat relationship mapping.
Culture & Benefits
- Work alongside engineering teams focused on solving complex cybersecurity problems.
- Benefits are provided, with additional compensation potentially including restricted stock units and a bonus.
- Immigration sponsorship is available for this role.
- Reasonable accommodations are available for qualified individuals with disabilities or special needs.
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