Backend Software Engineer for AI Core team building foundational AI capabilities across Ad Platforms. Implementing backend services, APIs, and integrating LLMs for AI - powered systems.
About the role
- Senior Engineer for the Serverless Cell Platform at CrowdStrike, a leader in cybersecurity. Monitoring large-scale distributed systems to ensure high performance and reliability.
Responsibilities
- Monitor and maintain the health, performance, and reliability of our hyperscale cell infrastructure processing trillions of events daily
- Lead incident response and problem management through established on-call rotations and structured feedback loops
- Implement comprehensive monitoring with Service Level Indicators to enable proactive alerting and automated self-healing
- Conduct capacity planning and forecasting based on ingest rates and query patterns to optimize resource utilization
- Ensure data integrity and compliance across >100 PB of stored data through automated consistency checks and recovery testing
- Manage access controls, certificate rotation, and vulnerability management across cell infrastructure according to defined SLAs
- Provision and scale cell infrastructure (vertical/horizontal) based on demand and performance requirements
- Develop microservices and automation tools for cell components, including ingest writers and management systems
- Orchestrate version upgrades, patch management, and configuration changes with minimal customer impact
- Perform load testing and performance benchmarking to validate scaling thresholds and optimize costs
- Coordinate with fleet operations, product teams, and infrastructure teams on global changes and capacity planning
- Create technical documentation, operational playbooks, and partner with teams to address customer-impacting issues
- Work in a team of friendly, trustworthy, and knowledgeable colleagues
- Build and maintain CI/CD pipelines for testing and releasing configuration and software
- Troubleshoot complex issues across multiple large-scale distributed systems, including LogScale, Kafka, object storage systems, and related infrastructure
- Work closely with Engineering and Customer Support to troubleshoot time-sensitive production issues, regardless of when they happen
- Apply SRE best practices, including SLOs, error budgets, chaos engineering, and blameless post-mortems
- Effectively utilize AI coding assistants (e.g., Anthropic Claude) to accelerate development and problem-solving.
Requirements
- Proven experience designing and implementing distributed systems with high scalability, availability, and performance optimization at enterprise scale
- Experience in contributing to broad technical leadership in products or services
- A can-do attitude; you thrive collaborating in a team and are not afraid of taking on responsibilities
- Several years' experience with large-scale, business-critical Linux-based environments
- Solid grounding in the technology of at least one cloud environment (AWS, Azure, GCP)
- Experience working with CI/CD, Jenkins Git, Artifactory, Bitbucket
- Go (golang) programming experience in production environments
- Some familiarity with Python programming
- Experience with configuration management systems such as Chef or Ansible
- Availability for on-call on a rotational basis
- Bonus Points: Experience with Kafka
- Bachelor's degree in an applicable field, such as Computer Science or Engineering.
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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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