Senior Security Detection Engineer

USA, CO, Boulder

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Workday

Workday unites HR and finance on one AI-first platform to help elevate humans and supercharge work to keep business moving forever forward.

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Your work days are brighter here.

At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.

About the Team

Workday is using the latest software development and cloud technologies to build platforms and application services to support our growth while also ensuring the protection of Workday data and infrastructure.
Our security analytics team is a group of highly skilled and dedicated professionals who are passionate about protecting our organization from cyber threats. We work together to analyze large volumes of security data from various sources to identify and respond to potential security threats.
Our team members have a strong background in cybersecurity, data analysis, and machine learning. We use innovative tools and technologies to analyze and visualize data, including Splunk, Spark, and Python. We collaborate closely with other security teams, including threat intelligence and SOC to ensure that our organization stays ahead of emerging cyber threats.
We are committed to continuous learning and professional development, and regularly attend industry conferences and training sessions to stay up to date on the latest trends and best practices in security analytics. We also value teamwork and collaboration and work closely with other departments to ensure that our security measures are aligned with the needs of the organization.
Overall, our security analytics team is a dynamic and forward-thinking group of professionals who are committed to keeping our organization secure in an ever-evolving threat landscape.

About the Role

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. You will have the flexibility of a hybrid schedule.

About You

Basic Qualifications 

  • 5 years+ of experience or a combination in the following areas: Detection Engineering, Machine Learning, DevSecOps. 

  • 5 years’ experience developing software one of the following languages: Python, Java, Kotlin, Scala

  • Experience with CI/CD pipelines and SDLC 

  • BS or MS degree in Computer Science, Engineering, or equivalent job experience 

Other Qualifications 

  • Experience with cloud native tooling and automation software to reduce toil and risk 

  • Experience using event streams, APIs, webhooks and other mechanisms to stitch together end to end automated workflows 

  • Broad familiarity with MITRE listed TTPs and ways to detect relevant IOCs and IOAs

  • Experience analyzing large data sets 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 


Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below.  Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.

Primary Location: USA.CO.Boulder


 

Primary Location Base Pay Range: $148,000 USD - $222,000 USD


 

Additional US Location(s) Base Pay Range: $140,600 USD - $246,000 USD



Our Approach to Flexible Work
 

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

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Category: Engineering Jobs

Tags: APIs CI/CD Clustering Computer Science Data analysis Engineering Java Machine Learning Pipelines Python Scala SDLC Security Spark Splunk Streaming

Perks/benefits: Career development Conferences Flex hours Home office stipend Salary bonus Transparency

Region: North America
Country: United States

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