Senior Engineer – Risk Platform

• Design and develop scalable backend services for internal and customer-facing web applications, focusing on performance and reliability
• Create command-line utilities and APIs integrated with the platform ecosystem
• Architect databases, real-time data pipelines, and monitoring systems
• Collaborate with UX/UI, Sensors, and other teams to deliver integrated solutions and documentation
• Configure monitoring and alerting and maintain high availability for production services
• Drive architectural improvements, optimize performance, and enhance user experience
• Guide junior engineers and contribute to technical decision-making
• Maintain healthy service operations through proactive maintenance and incident response
• Architect and build a foundational risk intelligence platform for Falcon Exposure Management, using algorithms, AI, and machine learning for risk compounding, attack path analysis, and posture scoring across hybrid environments

• 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, primarily Golang and Python
• Proven microservices experience designing scalable REST APIs and distributed communication patterns
• Strong cloud infrastructure knowledge with AWS preferred, plus Azure and GCP
• Understanding of concurrency, parallel processing, sharding, eventual consistency, and caching strategies
• Message queue proficiency, particularly Kafka
• Experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency, and drive business outcomes
• Database experience with RDBMS/SQL, PostgreSQL preferred, and Redis
• System troubleshooting expertise for complex distributed architectures
• Experience with testing strategies, code reviews, and resilient architecture design
• Ability to mentor junior engineers and contribute to technical decisions
• Bachelor's degree in Computer Science/Engineering or equivalent professional experience
• Strong foundation in algorithms, data structures, and system design principles
• Bonus: machine learning or AI implementation experience; Elasticsearch; Cassandra and CQL; graph databases; cybersecurity industry experience or relevant certifications; Docker and Kubernetes; open source contributions or technical community involvement

• Market leader in compensation and equity awards
• Comprehensive physical and mental wellness programs
• Competitive vacation and holidays for recharge
• Paid parental and adoption leaves
• Professional development opportunities for all employees regardless of level or role
• Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
• Vibrant office culture with world class amenities
• Great Place to Work Certified™ across the globe