Sr. Software Engineer - Data Infrastructure
About The Position
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 also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. 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: Build CrowdStrike's hyper-scale data lake that stops breaches and finds threats. We centralize all Falcon platform data, enabling analytics, machine learning, and threat hunting at petabyte scale. You'll architect and operate our big data ecosystem (Kubernetes, Flink, Kafka, Spark, MinIO, HDFS, Trino, Hive, Pinot, Ray) across AWS, GCP, OCI and on-premises data centers, and lead development of state-of-the-art Flink/Spark/Ray platforms on Kubernetes. NYC Metro Residents (incl. Commutable locations in New Jersey) - There is presently no NY office open but there will be in (estimated) 18-24 months. During the intervening period, your work will be entirely remote. Once an office is opened in Manhattan, you'll be expected to have some face-time in office an average of 2 days (no more than 3, max) per week.
Requirements
- Expert-level Spark and/or Flink with Kubernetes (open source committer preferred)
- Strong Kubernetes/Docker experience
- Deep understanding of distributed systems (Iceberg, Pinot, Hive, Kafka)
- Proficient in Java, Kotlin, Scala or Go
- Experience with Kafka, AWS, Terraform, S3/MinIO or similar storage systems
- Proven success with distributed teams
- Strong communication skills.
Nice To Haves
- Experience with real-time data streaming and event-driven architectures
- Knowledge of data governance, compliance, and security best practices
- Contributions to open-source projects (Spark, Flink, or related technologies)
- Experience in cybersecurity or high-stakes production environments
- Background in site reliability engineering or DevOps practices
- Advanced degree in Computer Science or related field
Responsibilities
- Build and manage large-scale distributed data processing systems
- Own Flink/Spark infrastructure on Kubernetes/AWS/GPS/OCI
- Ensure availability, reliability, and security
- Solve complex distributed systems problems at scale
- Design and own APIs, automation, and cluster health dashboards
- Deploy DevOps tools: Kubernetes, Terraform, Chef, Ansible, CI/CD
- Enable engineers and data scientists to run jobs and extract insights
- Work with query systems (Trino/Presto, Jupyter Notebooks).
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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
