Sr. Engineer II - ML Platform

About the Role:

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.

What You'll Do:

• Innovate with the state of the art machine learning technology to accelerate data science.
• Focus on scalability, and cost effectiveness.
• Implementing monitoring and providing in-depth analysis to identify potential vulnerabilities or gaps
• Create backend microservices, pinpointing and addressing critical concerns to implement effective solutions.
• Employ established CrowdStrike tools and services to build solutions for detecting and countering targeted cyber assaults.
• Construct 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.
• 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.

Tech Stack (not mandatory to know everything; a robust learning capacity is essential):

• High level coding language such as JVM technologies or Python
• Docker
• Kubernetes
• AWS, GCP, or MaaS
• Kafka, Cassandra, and Spark
• ElasticSearch
• Terraform, Chef, or Ansible

What You'll Need:

• Any STEM undergraduate degree
• 13 + years of experience with big data and microservices
• Understanding scalability and distributed systems e.g. sharding, partitioning, and concurrency
• Be a team player
• 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.

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