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. 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 for a Data Platform Engineer to join our growing Data Science Platform Engineering Team. You will be responsible for helping to build globally distributed, fault-tolerant, and highly scalable ecosystems used by data scientists, analysts, and threat hungers. You will partner with many teams across the company to provide compelling, self-service, automated solutions for challenging and high value projects.
CrowdStrike is a computer security company, but we do not require candidates for this role to have prior security industry experience. We will mentor and train in security topics as needed. We do expect a strong interest in CrowdStrike's mission and a willingness to engage with the needs of our product teams and customers.
The scale of our systems and data are approaching Exabytes in size. Experience with extremely large-scale systems, including DevSecOps patterns, practices, and standards are important for this work.
What You'll Do:
Innovate with data science platform technology to accelerate & democratize data science.
Focus on scalability, and cost effectiveness.
Implementing observability and provide in-depth analysis to prevent, detect, and zero-touch recover from service issues
Model, normalize, factor, and catalog data and metadata semantically for discoverability and rapid, repeatable data set creation
Employ and help evolve established CrowdStrike tools and services to build solutions for detecting and countering targeted cyber assaults.
Design and maintain data pipelines, and contribute to the training and implementation of custom models.
Collaborate across various teams to brainstorm, define, and devise solutions.
Commit to ongoing learning and self-improvement.
Emphasize top-tier, emerging coding quality by adhering to good practices, rigorous testing, and thorough DevSecOps Observability.
Work within a collaborative and agile team environment.
Contribute to mentoring fellow engineers across a spectrum of technologies and also absorb knowledge from them.
Constantly explore ways to refine product design, data models, knowledge models, user experience, performance, and reliability.
Own your work with autonomy, end to end: develop, test, deploy and monitor your changes.
Thrive in an environment that values trust.
What You'll Need:
7+ years of Golang AND Python experience
Prior work experience with (very) big data and microservices
Understanding scalability and large-scale distributed systems e.g. sharding, partitioning, and concurrency
A thorough understanding of engineering practices from appropriate testing paradigms to effective peer code reviews and resilient architecture.
The skills to meet your commitments on time and produce high-quality software that is tested, code reviewed, and checked in regularly for continuous integration.
The ability to thrive in a collaborative, and iterative programming environment.
Any STEM undergraduate degree
Tech Stack (not mandatory to know everything; a robust learning capacity is essential):
Docker
Kubernetes
AWS, GCP, or MaaS
Kafka, Cassandra, Spark
ElasticSearch
Terraform, Chef, or Ansible
Bonus Points:
Existing exposure to AWS and distributed systems
Experience with Language Models, Data Science, and Data Engineering
Prior experience in the cybersecurity or intelligence fields
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Benefits of Working at CrowdStrike:
Remote-friendly and flexible work culture
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 Resource Groups, geographic neighbourhood 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 recruiting@crowdstrike.com for further assistance.
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Last updated: 23 hours ago
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