Engineering Manager - Data Platform , GBR

As a global leader in cybersecurity, Crowd Strike 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 Crowd Strike 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 Crowd Striker both the flexibility and autonomy to own their careers. We’re always looking to add talented Crowd Strikers 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.

The data engineering team is on a mission to create a hyper scale data lake, which helps find bad actors and stop breaches. The team builds and operates systems to centralize all of the data the falcon platform collects, making it easy for internal and external customers to transform and access the data for analytics, machine learning, and threat hunting. As an engineer on the team you will contribute to the full spectrum of our systems, from foundational processing and data storage, through scalable pipelines, to frameworks, tools and applications that make that data available to other teams and systems.

We’re growing and we're looking for a passionate and experienced Engineering Manager to lead a brand-new Data Replay & Recovery Team within our Data Platform organization. This is a opportunity to build a team and product from the ground up - defining the charter, shaping the technology, and delivering a critical data replay application that directly impacts the reliability and resilience of our platform.

You'll collaborate with talented engineers across Data Platform, ML Platform, and Dev Ops teams, working on large-scale distributed systems that matter. If you thrive in a fast-paced environment, love solving complex big data challenges, and are ready to make a lasting organizational impact, we want to hear from you

This team would be responsible for driving an application-based, self-service Data Replay that would leverage data within our security data lake and ensure we provide complete Business Continuity and Resiliency for downstream services or peers that ingest and process data within the Crowd Stike Cloud Platform.

• Design, develop, and maintain a data platform that processes petabytes of data.
• Participate in technical reviews of our products and help us develop new features and enhance stability.
• Continually help us improve the efficiency of our services so that we can delight our customers.
• Help us research and implement new ways for both internal stakeholders as well as customers to query their data efficiently and extract results in the format they desire.

• 3+ years of hands-on management experience leading engineering teams in a big data environment.
• Degree in Computer Science (or commensurate experience in data structures/algorithms/distributed systems,big data).
• 7+ years' experience combined between backend/cloud development and data platform engineering roles.
• A solid understanding of algorithms, distributed systems design and the software development lifecycle
• Solid background in Java/Scala and a scripting language like Python.
• Experience building large scale data pipelines
• Strong familiarity with the Apache Hadoop ecosystem including :
  Spark, Kafka, Flink, Iceberg/Delta Lake/Hive, Apache Presto/Trino, etc.
• Experience with relational SQL and No
  
  SQL databases, including Postgres/MySQL, Cassandra, DynamoDB
• Familiarity with containerized environments (Docker, Kubernetes).
• Good test driven development discipline
• Reasonable proficiency with Linux administration tools
• Proven ability to work effectively with remote teams across time zones.