Sr. Backend Engineer

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role:
We're seeking a 10+ years of experience, highly skilled Senior Engineer to join our Falcon Exposure Management (FEM) team at CrowdStrike. You'll design and develop scalable backend services, data pipelines, and assessment capabilities that help organizations discover, assess, and manage their exposure and risk. You'll work on a globally distributed, fault-tolerant cloud ecosystem that processes high-volume data and delivers actionable insights.

What You'll Do:

• Design and develop scalable backend services, APIs, and microservices that power assessment and exposure management capabilities
• Research, analyze, and develop assessment content and logic that evaluates organizational exposure against industry standards
• Handle customer escalations to identify and resolve assessment findings
• Map assessment content to relevant compliance frameworks
• Design and implement data pipelines and ETL processes to ingest, normalize, and correlate data at scale
• Build robust data processing systems to integrate assessment logic with multiple data sources and third-party providers
• Design and implement database solutions using RDBMS/SQL, NoSQL databases, and distributed caching solutions
• Troubleshoot complex distributed architectures, identify performance issues, and optimize system reliability
• Collaborate with cross-functional teams to deliver integrated solutions and contribute to technical decisions
• Own end-to-end technical delivery from design through production deployment
• Utilize AI technologies and LLMs to enhance workflows, streamline development, and improve engineering efficiency
  

What You'll Need:

• 10+ years of production experience building and maintaining large-scale distributed systems
• Advanced programming expertise in object-oriented languages (Golang, Python, Java, or similar)
• Proven microservices experience with designing scalable REST APIs and distributed communication patterns
• Experience with container technology and/or Kubernetes
• Strong cloud infrastructure knowledge
• Solid distributed systems understanding (concurrency, parallel processing, scalability)
• Message queue proficiency (Kafka or similar)
• Database versatility across RDBMS/SQL, distributed data stores, and caching solutions
• System troubleshooting expertise for complex distributed architectures
• Engineering best practices (testing, code reviews, resilient architecture design)
• Solid foundation in algorithms, data structures and technical problem-solving.
• Bachelor's degree in Computer Science/Engineering or equivalent professional experience
• Proven experience utilizing AI technologies to enhance decision-making and streamline workflows
• Research mindset with knowledge of authoritative sources for security configuration guidance
• Ability to work independently and in a team environment
• Excellent oral, written, and interpersonal communication skills with ability to convey complex technical concepts
• Provide influential insights across multiple teams

Bonus Points:

• Practical experience with Golang, Cassandra, Kafka, Elasticsearch, or Redis
• Prior experience in cybersecurity, vulnerability management, or compliance domains
• Experience building data platforms at scale, including distributed ETLs and data pipelines
• Machine learning or AI implementation experience
• Working knowledge of LLMs and agentic workflows

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Benefits of Working at CrowdStrike:

• 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

CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.

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