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    Remote Infrastructure Engineer - United Kingdom - CrowdStrike Holdings, Inc.

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    Full time
    Description
    Infrastructure Engineer - Data Infrastructure (Remote) page is loaded Infrastructure Engineer - Data Infrastructure (Remote)

    Apply locations United Kingdom - Remote Denmark - Remote Italy - Remote France - Remote Netherlands - Remote time type Full time posted on Posted 2 Days Ago job requisition id R15920 #WeAreCrowdStrike and our mission is to stop breaches.

    As a global leader in cybersecurity, our team changed the game.

    We're looking for people with limitless passion, a relentless focus on innovation and a fanatical commitment to the customer to join us in shaping the future of cybersecurity.

    Consistently recognized as a top workplace, CrowdStrike is committed to cultivating an inclusive, remote-first culture that offers people the autonomy and flexibility to balance the needs of work and life while taking their career to the next level.

    CrowdStrike is looking to hire a Senior Software Engineer to join the Data Infra Engineering team as a 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 AWS and DataCenter that includes but not limited to Kubernetes, Flink, Kafka, Spark, MinIO, HDFS, Trino, Hive, Pinot 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.

    Build and manage Large scale Distributed data processing systems both in cloud or Datacenters.

    Build platform and oversee a variety of functions to ensure that our Flink/Spark infrastructure on Kubernetes/AWS making sure it 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
    Working experience with Kubernetes, Terraform, Chef, Ansible, CI-CD, Dev-ops.

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

    Strong in one or both of field i.e., Strong programming skills in languages as Go or Java/scala.
    Familiarity with Message queues, Kafka, AWS tech stacks, Terraform, Chef, S3/Minio is preferred.
    Proven ability to work with both local and remote teams
    LI-Remote
    Remote-first culture
    Market leader in compensation and equity awards with option to participate in ESPP in eligible countries
    Competitive vacation and flexible working arrangements
    Physical and mental wellness programs
    Paid parental leave, including adoption
    A variety of professional development and mentorship opportunities
    Offices with stocked kitchens when you need to fuel innovation and collaboration
    Birthday time-off in your local country

    We are committed to fostering a culture of belonging where everyone feels seen, heard, valued for who they are and empowered to succeed.

    By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve.

    If you need reasonable accommodation to access the information provided on this website, please contact .Founder George Kurtz realized that a brand new approach was needed — one that combines the most advanced endpoint protection with expert intelligence to pinpoint the adversaries perpetrating the attacks, not just the malware.

    #


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