Rust Engineer

Cybereason is on a mission to reverse the adversary's advantage by empowering defenders with ingenuity and technology to end cyber-attacks. 

We have the technology, and now we are looking to expand our talent! Come and talk to us about joining a market leader and a diverse team of passionate people who win as one, ensure a customer-first approach is core to everything we do, and never give up on reversing the adversary advantage.

Key Duties & 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

Required Qualifications:

• 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, Java, and C++
• 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 

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

Technical Skills and Knowledge:

• Data pipelines and ETL processes
• Distributed systems (Kafka, Flink/Spark, Redis)
• ELK stack for log management and analysis
• Cloud-native technologies and serverless architectures
• API design and management
• Performance optimization for large-scale systems
• Security implementation (OAuth 2.0, encryption, data protection)
• DevOps and SRE practices