Fullstack Platform Engineer

Summary

Join Cybereason's team as an experienced Fullstack Engineer to develop and maintain core components of our AI-driven cybersecurity solution. You will design and develop scalable backend services and intuitive front-end interfaces, implement data ingestion and processing pipelines, integrate AI-driven analytics, and develop APIs. Responsibilities include implementing robust security measures, troubleshooting complex issues, and ensuring compliance with industry standards. This role requires a Bachelor's degree in Computer Science or a related field, 5+ years of fullstack development experience, and proficiency in Rust. The ideal candidate will also possess experience with cloud platforms, containerization, and microservices architecture. Cybereason offers a collaborative environment, continuous learning opportunities, competitive salary and benefits, and remote work options.

Requirements

• Bachelor's degree in Computer Science or related field
• 5+ years of fullstack development experience
• Strong fundamentals in computer science, cybersecurity, and networking
• Proficiency in Rust
• Familiarity with Go, Python, Java, and TypeScript
• Experience with cloud platforms, containerization, and microservices architecture
• Strong understanding of SQL and NoSQL databases
• Experience with real-time data processing, analytics frameworks, and front-end technologies
• Expertise in data pipeline technologies, ELK stack, and Apache Kafka
• Familiarity with observability tools like Datadog Vector
• Experience building high-throughput, low-latency systems for millions of users

Responsibilities

• Design and develop scalable backend services and intuitive front-end interfaces for our platform
• Implement data ingestion and processing pipelines for large volumes of security data
• Integrate AI-driven analytics capabilities and optimize system performance
• Develop APIs and integrations with various IT and security tools
• Implement robust security measures and ensure compliance with industry standards
• Troubleshoot complex issues across the full stack of our application

Preferred Qualifications

• Experience with SIEM systems, machine learning in cybersecurity contexts
• Familiarity with big data technologies, time-series databases, and data warehousing solutions
• Knowledge of GraphQL, infrastructure-as-code tools, and service mesh technologies
• Contributions to open-source projects or relevant research publications

Benefits

• Work on cutting-edge cybersecurity technology
• Collaborative and innovative environment
• Continuous learning opportunities
• Competitive salary and benefits
• Remote work options