MLOps Engineer (Remote)

CrowdStrike

340d • $135,000 - $215,000 • Remote

About The Position

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.

Requirements

• 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

Nice To Haves

• Existing exposure to AWS and distributed systems
• Experience with Language Models, Data Science, and Data Engineering
• Prior experience in the cybersecurity or intelligence fields

Responsibilities

• 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
• Implement monitoring and provide 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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree