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CrowdStrike

Software Engineer, Data Infrastructure (Hybrid)

Posted Yesterday
Remote or Hybrid
2 Locations
120K-180K Annually
Senior level
Remote or Hybrid
2 Locations
120K-180K Annually
Senior level
As a Software Engineer, develop scalable distributed systems using Spark on Kubernetes, manage data clusters, design APIs, and ensure system reliability. Collaborate with remote teams and enhance the data infrastructure for analytics and machine learning.
The summary above was generated by AI

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:

CrowdStrike is looking to hire a Senior Systems Engineer to join the Data Engineering team as a Senior Distributed Systems Engineer. In this team, we are on a mission to create a hyper scale data lake, which helps finding bad actors and stopping 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 a Software Engineer in this team you will be responsible for building our Spark ecosystem in our DataCenter that  includes but not limited to Kubernetes, Spark, MinIO, HDFS etc. We are looking for candidates that have setup big data scale clusters in the DataCenter or Cloud (PB-scale would be a plus) in the DataCenter/AWS and are passionate about solving problems at high scale. This role involves leading efforts to build State-of-the-art Spark k8 platform.

This role can be based out of Sunnyvale/Silicon Valley Metro, Austin Metro or New York City Metro and will likely include 1-3 days in-office per week on average (NYC office is in development, so workers her will remain fully remote for likely 18-24 months)

What You'll Do:

  • Design and implement extremely scalable large scale distributed Spark cluster on Kubernetes platform optimized for Data center environment.

  • Perform and oversee a variety of functions to ensure that our Spark infrastructure on Kubernetes is available, reliable, stable and secure

  • Applies judgment in analyzing and selecting technologies, installation and maintenance of software and hardware systems that allow multiple Engineering and DataScience teams to interact with this system

  • Design, writes and own APIs, automate and generate reports to visualize cluster health.

  • Has responsibility for building and maintaining the Spark infrastructure such that software engineers, data analysts and data scientists can run jobs to gather data and insights.

  • Work on Query systems, like Apache Presto or Trino, Jupyter Notebooks

What You'll Need:

  • Strong in one or both of field i.e., Spark ecosystem or Kubernetes ecosystem

  • Strong analytical skills and  with deep understanding of Distributed Systems

  • Strong programming skills in languages as Go, Java or Python

  • Understanding of Apache Spark ecosystem technologies (Deltalake/Iceberg, YARN, HDFS, Kafka, Zookeeper, Hive, Jupyter notebooks)

  • Experience with large-scale business critical platforms with Spark on Kubernetes on data center or cloud.

  • Experience with continuous deployment on K8 with Helm, fluxCD etc

  • Solid understanding of Spark(data) and K8 storage systems (Object stores S3/Minio, Spark ephemeral storage, Persistent volumes mapping and claims)

  • Understanding or spark memory management and experience with spark internals.

  • Familiarity with Chef is preferred.

  • Proven ability to work with both local and remote teams

  • Strong communication skills both verbal and written

#LI-MP2

#LI-DG1

#LI-Hybrid

#LI-HTF

#HTF

This role will require the candidate to periodically undergo and pass additional background and fingerprint check(s) consistent with government customer requirements.

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.

If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at [email protected] for further assistance.

Find out more about your rights as an applicant.

CrowdStrike participates in the E-Verify program.

Notice of E-Verify Participation

Right to Work

CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $120,000 - $180,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.

For detailed information about the U.S. benefits package, please click here.

 

Top Skills

Apache Presto
Chef
Go
Hdfs
Java
Jupyter Notebooks
Kubernetes
Minio
Python
Spark
Trino

CrowdStrike Irvine, California, USA Office

Irvine, CA, United States

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