MLOps Engineer

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: We seek a Senior Machine Learning Engineer to advance our ML Platform Engineering initiatives. In this role, you'll architect and build globally distributed, fault-tolerant systems that scale across our enterprise. You'll collaborate with cross-functional teams to deliver high-impact solutions that strengthen our cybersecurity capabilities.Prior cybersecurity experience is not required. We provide comprehensive security domain training and mentorship.What You'll Do: Design, implement, and maintain CI/CD pipelines and automation processes Collaborate with data scientists to integrate CI/CD into development workflows Identify and implement opportunities for process automation and improvement Enforce and implement security measures across repositories Innovate with the state of the art machine learning technology to accelerate data science. Focus on scalability, and cost effectiveness. Set up alerts and dashboards to proactively address performance and reliability issues Implementing monitoring and providing in-depth analysis to identify potential vulnerabilities or gaps Employ established CrowdStrike tools and services to build solutions for detecting and countering targeted cyber assaults. Collaborate across various teams to brainstorm, define, and devise solutions. Commit to ongoing learning and self-improvement. Stay attuned to our customers' challenges, always seeking ways to enhance support. Emphasize top-tier coding quality by adhering to best practices, rigorous testing, and thorough logging and metrics. 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 architecture, 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 highly values trust.What You'll Need: Any STEM undergraduate degree Prior work experience with big data and microservices Understanding scalability and distributed systems e.g. sharding, partitioning, and concurrency A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture. The ability to thrive in a test-driven, collaborative, and iterative programming environment. The skills to meet your commitments on time and produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.Tech Stack (not mandatory to know everything; a robust learning capacity is essential): ML Model deployment, e.g. MLFlow, Kubeflow, Triton, Databricks Distributed systems, e.g. Kafka, Cassandra, or Spark High level coding language, e.g. JVM technologies or Python Cluster management, e.g. Slurm, Ray, Spark, EMR, ZooKeeper Infra as code, e.g. Terraform, Chef, or Ansible Containers, e.g. Docker, Kubernetes Search, e.g. ElasticSearchBonus 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 VMWare#LI-RC1 #LI-Remote 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 globeCrowdStrike 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.Find out more about your rights as an applicant.