ML DevOps Engineer
USA VA Remote, United States
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. ElasticSearch
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
VMWare
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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.
Find out more about your rights as an applicant.
CrowdStrike participates in the E-Verify program.
Notice of E-Verify Participation
CrowdStrike, Inc. is committed to equal pay for equal work in its compensation practices. The base salary range for this position in the U.S. is $135,000 - $215,000 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, job level, supervisory status, and location.Expected Close Date of Job Posting is:04-21-2025 ApplyJob Profile
Remote
Benefits/PerksAutonomy Collaborative environment Competitive vacation Comprehensive security training Employee Resource Groups Equity Equity awards Flexibility Flexibility and autonomy Flexible work Flexible work culture Market leader Market leader in compensation Market leader in compensation and equity Mental wellness programs Mentorship Physical and mental wellness Physical and mental wellness programs Professional development Professional development opportunities Remote-first company Training and mentorship Vacation Wellness programs
Tasks- Build
- Collaborate with data scientists
- Deploy
- Deployment
- Design and maintain CI/CD pipelines
- Enforce security measures
- Implement process automation
- Innovate with machine learning technology
- Mentor fellow engineers
- Monitoring
- Monitor performance and reliability
- Set up alerts and dashboards
- Test
- Training
Agile AI Ansible Architecture Automation AWS Best Practices Big Data Cassandra Chef CI/CD CI/CD pipelines Code reviews Coding COM Concurrency Containers Continuous Integration Cybersecurity Dashboards Databricks Data engineering Data Science DevOps Distributed Systems Docker ElasticSearch Engineering Engineering Best Practices Enterprise Flexibility Innovation Integration JVM JVM technologies Kafka Kubeflow Kubernetes Logging Machine Learning Management Mentoring Mentorship Metrics Microservices MLFlow Model Deployment Monitoring Peer code reviews Process Automation Programming Python R Ray Recruiting Reliability Resilient architecture SAFe Scalability Security Sharding SLURM Software Software Development Spark Support Systems Technology Terraform Testing Testing Paradigms Training Triton User Experience VMWare Workflows Zookeeper
EducationAS BE Cybersecurity Data Science Degree Distributed systems Engineering Machine Learning Relevant Work Experience Senior STEM undergraduate degree Technology Undergraduate Undergraduate Degree
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9