Primary location base pyy range: $130,200 usd - $1...
Hybrid
Python, java, kotlin, scala, or javascript development
Public cloud environments development and monitoring
Splunk and elasticsearch siem platforms
Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us
Job Summary
Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us.
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, perform data and detection gap analysis and then use this information to develop and refine alerting logic while applying innovative techniques on large volumes of real time data.
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
Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us.
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 role-specific commission/bonus, as well as annual refresh stock grants.
Skills & Requirements
Must-have
Python, Java, Kotlin, Scala, or JavaScript development
Public cloud environments development and monitoring
Splunk and Elasticsearch SIEM platforms
MITRE ATT&CK framework threat hunting
Networking and Linux operating systems knowledge
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 containerized applications security
Familiarity with outlier detection, clustering, and forecasting techniques