#WeAreCrowdStrike and our mission is to stop breaches. As a global leader in cybersecurity, our team changed the game. Since our inception, our market leading cloud-native platform has offered unparalleled protection against the most sophisticated cyberattacks. We work on large scale distributed systems, processing over 1 trillion events a day with a petabyte of RAM deployed in our Cassandra clusters – and this traffic is growing daily. We’re looking for people with limitless passion, a relentless focus on innovation and a fanatical commitment to developing and shaping our cybersecurity platform. 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. Interested in working for a company that sets the standard and leads with integrity? Join us on a mission that matters – one team, one fight. About the Role: We are looking to hire a Senior Backend Engineer to help develop our third party ingest pipelines as part of Next-Gen SIEM. You will be a part of the Platform group and help build the systems that ingest and parse third party data at petabyte scale. You will interact with product managers and other engineers in building both internal and external facing services. You will be responsible for building fault tolerant, high scalable cloud systems using Golang. This role has a strong preference to candidates located in EST, but is open to candidates located in CST, who are willing to work EST hours. What You’ll Need: Must be a US Citizen of Green Card holder living on US soil to be considered for this role Bachelor’s degree in Computer Science or related field or equivalent work experience 9+ years of relevant work experience Experience with event streaming systems (Kafka, Kinesis, ActiveMQ, RabbitMQ) Experience with NoSQL and Relational DB’s Hands on experience in large-scale (distributed) system architecture, high scalability and availability, and optimization Experience in building data platforms at scale GoLang/Java/Python skills with strong debugging skills Experience working in Linux Bonus Points: Familiarity with Docker and Kubernetes based development and orchestration. Contributed to the open source community (GitHub, Stack Overflow, blogging) Experience with commercial clouds (AWS, Azure, GCP) Prior experience in the cybersecurity or intelligence fields.
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Benefits of Working at CrowdStrike: Remote-first culture Market leader in compensation and equity awards Competitive vacation and flexible working arrangements Comprehensive and inclusive health benefits 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 We are committed to fostering a culture of belonging where everyone feels seen, heard, valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. 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. CrowdStrike is committed to maintaining an environment of Equal Opportunity and Affirmative Action. If you need reasonable accommodation to access the information provided on this website, please contact for further assistance. 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. The base salary range for this position in the U.S. is $135,000 – $210,000 per year + variable/incentive compensation + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location.
Go activemq Python Amazon Web Services (AWS) RabbitMQ Apache Kafka Azure Linux Amazon Kinesis Google Cloud Platform (GCP) Docker Kubernetes Java RDBMS NoSQL