Primary location base pyy range: $130,200 usd - $1...
Hybrid
Python, java, kotlin, scala, or javascript development
Public cloud environment security and monitoring
Splunk and elasticsearch siem platforms
Workday is using the latest software development, cloud and AI technologies to build platforms and application services to support our growth while also ensuring the protection of Workday data and infrastructure
Job Summary
Workday is using the latest software development, cloud and AI technologies to build platforms and application services to support our growth while also ensuring the protection of Workday data and infrastructure.
As a member of the Security Analytics team, you will get an opportunity to collaborate with a large cross section of teams across Workday to understand the threat landscape, participate in various threat hunting exercises to discover potential vulnerabilities and test detective coverage.
In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul.
Matching Summary
Workday is using the latest software development, cloud and AI technologies to build platforms and application services to support our growth while also ensuring the protection of Workday data and infrastructure.
Salary
Primary Location Base Pay Range: $130,200 USD - $195,400 USD; Additional US Location(s) Base Pay Range: $117,800 USD - $210,000 USD; Bonus/Equity: May be eligible for Workday Bonus Plan or commission/bonus, annual stock grants
Skills & Requirements
Must-have
Python, Java, Kotlin, Scala, or JavaScript development
Public cloud environment security and monitoring
Splunk and Elasticsearch SIEM platforms
Leverage MITRE ATT&CK framework
Containerized application security challenges
Nice-to-have
Curious minds and courageous collaborators
Sun-drenched optimism and drive
Empathy and shared enthusiasm
Continuous learning and professional development
Key Requirements
2+ years of software development expertise
BS or MS degree in Computer Science, Engineering, or equivalent practical experience
Experience with networking and Linux operating systems
Familiarity with outlier detection, clustering, and forecasting techniques