Senior Backend Cloud Engineer, CrowdStrike

• Passionate about building highly scalable microservices
• Excited about knowledge sharing and collaborative problem-solving
• Driven to create secure, reliable systems that help protect organizations from cyber threats
• Computer science degree or commensurate experience
• Solid understanding of distributed systems, scalability, RESTful patterns, and multithreading concepts; knowledge of software development best practices and willingness to learn more
• Proficiency building and scaling services in production using Go, Python, Java, or C#
• Track record of leading projects and delivery on schedule
• Passion for customer success and guides decisions with the end user in mind
• Effective communication across functions and levels throughout the company
• Initiative to pick up and fix issues as you find them, without waiting to be assigned

Desirable

• We're looking for a talented Software Engineer to join our Threat Detection and Incident Response (TDIR) team
• This team is responsible for building critical components of the Next-gen SIEM product
• You'll be working with a team of dedicated engineers to develop and scale microservices that enable security analysts to be more effective at incident management, threat hunting, and response.What You'll
• You'll develop Go-based microservices to support new and existing features which help detect cyber attacks, as well as RESTful APIs to support customer-focused workflows
• Take end-to-end ownership, both individually, and as part of a team, for delivery of projects of increasing complexity
• Work closely with designers, product managers, and engineers across product groups to understand, design, and implement solutions
• Mentor junior engineers on the team via pair programming, code reviews, and one-on-one knowledge sharing
• Challenge the status quo by continuously re-evaluating our features, infrastructure, and services for areas where we can improve architecture, user experience, performance, latency, or stability
• Relentlessly pursue quality by following engineering best practices including: Appropriate testing paradigms, effective peer code reviews, logging, monitoring, and resilient architecture patterns
• Utilize Kafka for event-driven workflows, Redis for distributed caching, and Cassandra, ElasticSearch, or PostgreSQL for data storage
• Provide monitoring and operational & customer support for production services owned by our team