Sr. Software Engineer - Risk Platform (Hybrid)

About the role

We're seeking a highly skilled Senior Engineer to join our Falcon Risk Platform team at CrowdStrike. As a key member of our team, you'll play a critical role in designing and building the foundational risk platform that powers our industry-leading cybersecurity solutions.

Responsibilities

• Backend Architecture and Development: Design and develop scalable backend services powering both internal and customer-facing web applications, with a focus on performance, reliability, and security.
• Develop and maintain APIs, microservices, and data pipelines to support the growth of the platform.
• Collaborate with cross-functional teams to identify and prioritize project requirements.
• Cloud Infrastructure and Operations: Collaborate with the DevOps team to design and implement cloud infrastructure solutions using AWS, Azure, or GCP, ensuring scalability, security, and high availability.
• Develop and maintain scripts and tools to automate deployment, monitoring, and maintenance tasks.
• Ensure compliance with security and regulatory requirements.
• Database Management and Data Engineering: Design and implement database solutions using large scale distributed data stores (Cassandra, OpenSearch, Iceberg, Neo4J), OLAP data stores (Apache Pinot) and distributed caching solutions like Redis or ValKey, ensuring data consistency, integrity, and performance.
• Develop and maintain data pipelines and ETL processes to support data integration and analytics.
• Ensure data security and compliance across different databases and data stores.
• System Troubleshooting and Performance Optimization: Troubleshoot complex distributed architectures, identifying and resolving performance and reliability issues.
• Develop and implement monitoring and logging solutions to improve system visibility and debugging capabilities.
• Collaborate with cross-functional teams to identify and prioritize performance optimization opportunities.
• Collaboration and Technical Leadership: Partner with cross-functional teams, including UX/UI, Sensors, and other teams, to deliver integrated solutions with comprehensive documentation. Provide technical guidance and mentorship to junior engineers, ensuring knowledge sharing and skill development within the team.
• Collaborate with technical leaders to define technical vision and strategy.
• Operational Excellence and Service Reliability: Configure advanced monitoring, alerting, and maintain high availability for production services, ensuring robust and healthy service operations. Develop and implement incident response plans and procedures to minimize downtime and ensure high availability.
• Collaborate with cross-functional teams to identify and prioritize operational excellence initiatives.

Requirements

• Advanced programming expertise in object-oriented languages (Golang, Python, or similar)
• Solid foundation in algorithms, data structures, and technical problem-solving
• Bachelor's degree in Computer Science/Engineering or equivalent professional experience
• Distributed Systems & Architecture 10+ years of production experience with large-scale distributed systems
• Proven microservices experience with scalable REST APIs and distributed communication patterns
• Solid distributed systems understanding (concurrency, parallel processing, scalability patterns)
• System troubleshooting expertise for complex distributed architectures
• Data Engineering & Infrastructure Experience building data platforms at scale with distributed ETLs/ingestion pipelines
• Message queue proficiency (Kafka or similar)
• Database versatility (OpenSearch, Cassandra, Redis, Valkey, etc)
• Past experience with OLAP systems and large-scale analytical problems
• Strong cloud infrastructure knowledge (AWS, Azure, GCP, OCI)
• AI/ML Integration & Development Experience integrating AI tools into SDLC pipelines
• Proficiency with AI-powered development tools (Claude, GitHub Copilot, ChatGPT)
• Strong understanding of secure AI-assisted development practices
• Agent task coordination: Organize AI agents to manage complex workflows, including sequential processes such as planning, design, development, and validation
• Intelligent code review: Use AI-based tools to analyze pull requests for security vulnerabilities and code quality improvements before manual review
• Leadership & Best Practices Engineering best practices experience (testing, code reviews, fault tolerance & resilient architecture)
• Collaborative technical skills
• Ability to mentor junior engineers
• Experience contributing to technical decisions
• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes

Qualifications

• Technical Expertise
• Practical experience with Golang, Cassandra, Kafka, Opensearch, SQL, Redis, Apache Pinot
• Practical experience with graph database knowledge and experience with graph structures (nodes, edges, relationships)
• Open source contributions or technical community involvement
• Docker and Kubernetes experience

Benefits

• 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