Workday - Boulder, CO

posted about 2 months ago

Full-time - Mid Level
Boulder, CO
Publishing Industries

About the position

At Workday, the Senior Security Analytics Engineer plays a crucial role in safeguarding our organization from cyber threats. As a member of the Security Analytics team, you will collaborate with various teams across Workday to understand the threat landscape and participate in threat hunting exercises aimed at discovering potential vulnerabilities. Your responsibilities will include performing data and detection gap analysis, which will inform the development and refinement of alerting logic. You will apply innovative techniques to analyze large volumes of real-time data, ensuring that our security measures are robust and effective. The Security Analytics team is composed of highly skilled professionals who are passionate about cybersecurity, data analysis, and machine learning. We utilize cutting-edge tools and technologies, including Splunk, Spark, and Python, to analyze and visualize security data. Collaboration is key, as you will work closely with other security teams, such as threat intelligence and the Security Operations Center (SOC), to stay ahead of emerging cyber threats. Continuous learning and professional development are integral to our culture, and team members regularly attend industry conferences and training sessions to remain updated on the latest trends and best practices in security analytics. In this role, you will have the flexibility of a hybrid work schedule, allowing you to balance in-office and remote work. Your contributions will be vital in ensuring that Workday's data and infrastructure remain secure in an ever-evolving threat landscape. We are looking for someone who is not only technically proficient but also values teamwork and collaboration, as these are essential to our success.

Responsibilities

  • Collaborate with cross-functional teams to understand the threat landscape.
  • Participate in threat hunting exercises to discover potential vulnerabilities.
  • Perform data and detection gap analysis to inform alerting logic development.
  • Analyze large volumes of real-time security data using innovative techniques.
  • Work closely with other security teams, including threat intelligence and SOC.

Requirements

  • 5+ years of experience in Detection Engineering, Machine Learning, or DevSecOps.
  • 5 years of experience developing software in Python, Java, Kotlin, or Scala.
  • Experience with CI/CD pipelines and Software Development Life Cycle (SDLC).
  • BS or MS degree in Computer Science, Engineering, or equivalent experience.
  • Experience with cloud-native tooling and automation software.

Nice-to-haves

  • Familiarity with MITRE listed TTPs and detection of relevant IOCs and IOAs.
  • Experience analyzing large datasets in a notebook or SIEM environment.
  • Experience developing production-grade outlier detection, clustering, and forecasting use cases.
  • Experience working with data processing pipelines and streaming data.

Benefits

  • Workday Bonus Plan eligibility
  • Annual refresh stock grants
  • Flexible work schedule with a hybrid model
  • Comprehensive benefits package
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