Sr. Software Engineer - Risk Platform; Hybrid

About the Role

We’re seeking a highly skilled Senior Engineer to join our Falcon Risk Platform team  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. You’ll work with cutting‑edge technologies, including Golang, microservices architecture, and various database ecosystems, to deliver comprehensive visibility into risks, management features and prioritization workflows.

Our team is responsible for building and maintaining the Risk platform group within Falcon Exposure Management PG, offering a single pane of glass experience by aggregating all risks within an organization in one place. You’ll work on a globally distributed, fault‑tolerant, and highly scalable cloud ecosystem that supports integration of risk from Crowd Strike’s internal providers as well as from third‑party integrations.

As a technical leader, you’ll drive end‑to‑end product delivery, architect scalable solutions, and collaborate with cross‑functional stakeholders to define priorities and scope. Your expertise will directly influence the cybersecurity landscape, protecting organizations from sophisticated threats while advancing the state of the art in exposure management.

• Backend Architecture and Development:
  Design and develop scalable backend services powering both internal and customer‑facing web applications, focusing on performance, reliability, and security. Develop and maintain APIs, microservices, and data pipelines to support platform growth. Collaborate with cross‑functional teams to identify and prioritize project requirements.
• Cloud Infrastructure and Operations:
  Collaborate with the Dev Ops team to design and implement cloud infrastructure solutions using AWS, Azure, or GCP. 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 (C*, Open Search, Iceberg, Neo4J), OLAP data stores (Apache Pinot) and distributed caching solutions like Redis or Val Key. 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.
• 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.
• Operational Excellence and Service Reliability:
  Configure advanced monitoring, alerting, and maintain high availability for production services. Develop and implement incident response plans and procedures to minimize downtime and ensure high availability.

• Golang
• Cassandra
• Kafka
• Open Search
• Apache Pinot
• Neo4j
• SQL
• Redis
• ZMQ
• AWS Cloud
• Git

• Technical Expertise
  • 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 (Open Search, Cassandra, Redis, Valkey, etc)
  • Past experience with OLAP systems…