Sr. Data Engineer - (Remote)

<p>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. <span>We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily</span>. 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.</p><p></p><p><b><b>About the Role </b></b></p><p></p><p><span>We’re building the next-generation cloud-native security platform for CrowdStrike which includes an application and service delivery platform, massively scalable distributed data storage and replication systems, and a cutting-edge search and distributed graph system. You will play a critical role in innovating and building the </span><a href="https://www.crowdstrike.com/press-releases/crowdstrike-introduces-crowdstrike-asset-graph/" rel="noopener noreferrer" target="_blank"><u>CrowdStrike Asset Graph</u></a><span> system.</span></p><p></p><p><span>Bring your experience in distributed technologies and algorithms, your great API and systems design sensibilities, and your passion for writing code that performs at extreme scale. If you want a job that makes a difference in the world and operates at a high scale, you’ve come to the right place.</span></p><p><b><span> </span></b></p><p><b><b>What You'll Do:</b></b></p><ul><li><p><span>Lead backend engineering efforts from rapid prototypes to large-scale applications across CrowdStrike products.</span></p></li><li><p><span>Build and manage Large scale Distributed data processing systems both in cloud or Datacenters.</span></p></li><li><p><span>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.</span></p></li><li><p><span>Demonstrate very strong problem solving expertise in large scale systems.</span></p></li><li><p><span>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</span></p></li><li><p><span>Design, write and own APIs, automate and generate reports to visualize cluster health.</span></p></li><li><p><span>Working experience with Kubernetes, Terraform, Chef, Ansible, CI-CD, Dev-ops.</span></p></li><li><p><span>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.</span></p></li><li><p><span>Work on Query systems, like Apache Presto or Trino, Jupyter Notebooks etc and strong programming background.</span></p></li></ul><p></p><p><b><b>What You'll Use:</b></b></p><ul><li><p><span>Spark/pySpark</span></p></li><li><p><span>Go(Golang)</span></p></li><li><p><span>Python</span></p></li><li><p><span>GIT</span></p></li><li><p><span>Cassandra</span></p></li><li><p><span>Kafka</span></p></li><li><p><span>ElasticSearch</span></p></li><li><p><span>Kubernetes</span></p></li><li><p><span>Terraform</span></p></li><li><p><span>Redis</span></p></li><li><p><span>AWS Cloud</span></p></li></ul><p></p><p><b><b>What You’ll Need:</b></b></p><ul><li><p><span>7+ years of production-level experience in building, delivering, and maintaining distributed services architecture at scale</span></p></li><li><p><span>Degree in Computer Science (or commensurate experience in data <span>structures/algorithms/distributed</span> systems).</span></p></li><li><p><span>Strong in one or both fields i.e., Spark and/or Flink with Kubernetes ecosystem background. Preferably a Spark or Flink open source committer.</span></p></li><li><p><span>Experience with Kubernetes and/or Docker like technologies.</span></p></li><li><p><span>Strong analytical skills and with deep understanding of Distributed Systems eg Apache Iceberg, Pinot, Hive, Kafka etc</span></p></li><li><p><span>Strong programming skills in languages such as Go or Java/scala.</span></p></li><li><p><span>Familiarity with Message queues, Kafka, AWS tech stacks, Terraform, Chef, S3/Minio is preferred.</span></p></li><li><p><span>Proven ability to work with both local and remote teams</span></p></li><li><p><span>Strong communication skills both verbal and written​</span></p></li></ul><p></p><p><b><b>Bonus Points