Engineering Manager - Data Platform (Hybrid, GBR)

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 Team:

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.

About the Role:

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 DevOps 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 CrowdStike Cloud Platform.

What You'll do:

• 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.

What You'll need:

• 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.

• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

• 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 NoSQL 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.

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Experience with the following tools is desirable :

• Go

• Kubernetes

• Jenkins

• Parquet

• Protocol Buffers/GRPC

#LI-AV1

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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