#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’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. 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: The Cybersecurity threat landscape is ever evolving, changing, and adapting. Our threat adversaries continue to find new ways to evade detection and compromise systems around the world. The Strategic Counter-Adversarial Research (SCAR) team’s mission is to research and develop novel technologies, procedures, and processes to counter such threat capabilities. We are looking for a Senior-level Engineer with experience in building and maintaining scalable data infrastructure/platforms and tools for our team. Someone with foundational knowledge in algorithms, software engineering/development and operational research is highly preferred. In short, someone who is technically proficient and communicates well with others. Team Culture : Stay humble. Stay positive. Stay hungry. Exhaustively passionate: We can’t emphasize this enough. We love what we do, and feel our work is making a notable impact and difference on a global and geopolitical scale. Strong work ethic: We work extremely hard, not just smart. It’s essential to our success. Be ready to be dedicated and focused. Team player: Our success and failures are shared together. We learn from each other. We help each other to grow and develop. We take constructive criticism gracefully and give credit where credit is due. Learner: Be willing to learn, to seek truth, and understanding. Take the initiative to acquire knowledge and investigate questions you might have. Adaptable/Agile/Flexible: Nothing ever goes according to plan, be prepared to do any task necessary that benefits and contributes to the team success (i.e. low-level data entry to high-level research design and experimentation) What You’ll Do: Collaborate with SCAR members to build, develop, and maintain operational research systems, projects, and tools. Work closely with operational engineering teams to transfer research work to production. Lead projects to build new components and extend the current system, where you would need to gather requirements, plan, code, test, and deploy to completion. Convert research projects into production environments and integrate them with our production systems. Be an energetic ‘self-starter’ with the ability to take ownership and be accountable for deliverables. Work with distributed and asynchronous data systems. Use Programming Languages such as: Python, Java, SCALA, C/C++, JavaScript /JS Frameworks, RUST/ Leverage technologies such as: Amazon Web Services (AWS), Relational/Graph Database Technologies,ElasticSearch, Kafka, External/Internal APIs/ What You’ll Need: Degree in Computer Science/Computer Engineering (or commensurate experience). Experience with Python, and a compiled language such as Golang. Experience building web-services with data processing pipelines and experience with the concepts required. Experience with relational, graph, and noSQL databases (Redis, Postgres, Cassandra, ElasticSearch a plus). Understanding of messaging or queueing software, Kafka experience highly desirable. Linux skills and experience with large-scale, business-critical Linux environments. Understanding of distributed systems and scalability challenges, particularly in cloud environments such as AWS. The ability to thrive in a fast-paced, test-driven, collaborative and iterative programming environment. A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture. #LI-Remote
#LI-AO1 This role may require the candidate to periodically undergo and pass alcohol and/or drug test(s) during the course of employment. 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. Expected Close Date of Job Posting is:07-17-2024 #J-18808-Ljbffr
PostgreSQL Agile API Amazon Web Services (AWS) Computer Engineering Computer Science Apache Kafka Linux Elasticsearch Redis data-processing web-services Cassandra Engineering Cybersecurity Rust Go Innovativeness graph-databases Scala Python Adaptability Team player JavaScript Software Development Engineer C++ Career Consultant distributed-systems scalable systems Java RDBMS NoSQL algorithms