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Manager, Detection Engineering
Company Workday
Location CA, Pleasanton / VA, McLean
Preferred GIAC Certifications 504
Travel 5%
Salary Not provided
Contact Name cyoung
Contact Email cian.young/at/
Expires 2020-12-30

Job Description

Join our team and experience Workday!

It's fun to work in a company where people truly believe in what they're doing. At Workday, we're committed to bringing passion and customer focus to the business of enterprise applications. We work hard, and we're serious about what we do. But we like to have a good time, too. In fact, we run our company with that principle in mind every day: One of our core values is fun.

Job Description

We have a new, exciting opportunity for an experienced manager to lead our detection engineering team.

A bit about you:

You love leading engineering teams and delivering winning results. You have hands-on technical expertise in building systems and platforms for threat detection and analysis.

You are first a leader, then a manager and an engineer. You are motivated by solving challenging problems with simple, elegant solutions and feel great satisfaction from helping others. Your dedication and high standards translate to impressive results and attract like-minded people.

You are passionate about quality, customer satisfaction, and want to instil that culture in the organization.

Culture matters to you. You get excited about a cohesive, energetic and fun work environment. An environment that fosters creativity, transparency, vision, growth and individuality. You have the drive and spark to thrive in a startup-like environment.

You are a master of multitasking, triaging and prioritizing. You take your responsibility to grow members of your team seriously and have a strong foundation of coaching and mentorship abilities that you use regularly to help your team members achieve their career goals while delivering their best work in a close knit team environment.

What you will do:

Coach, mentor and provide real-time, meaningful, sensitive and constructive feedback to direct reports. Since this is a small team, you’re capable of strong individual contributions.
Grow the team and align project assignments with career development goals and company vision.
Improve threat detection using system or network capabilities.
Manage detection development lifecycle that includes the architecture of new tooling and industrialization of security monitoring activities.
Set team-level and engineering best practices around development and documentation.
Collaborate effectively with other teams and individuals that results in stronger relationships and a greater benefit to everyone involved.
Manage complex technical projects and provide business and technical guidance as needed.
Successfully deliver enterprise-ready projects ranging from seed initiatives to large scale projects that impact multiple areas of the company.
Inspire and promote creativity and innovation while managing missteps and mistakes as opportunities to grow and learn.
Provide strategic and tactical leadership to the detection engineering team, including identification of emerging threats and possible mechanisms to detect them.
Developing and communicate strategies that the deliver effective ways of dealing with the swaths of risks and threats that face an enterprise.

Your background:

Demonstrable leadership, management, coaching skills, and 3+ years of experience as a security engineering manager.
Several years of progressive security industry experience building and delivering complex, enterprise-grade security projects.
Experience with Agile software development methodologies and short release cycles.
Familiar with Logging infrastructure (Syslog, Fluentd,...)
Familiar with concepts and common tools for moving and exploiting event and log data.
Having direct experience in incident response, red teams, and/or security operations.
A passion to dive into Big Data, Data Science, Analytics, Machine Learning
Superior communication & interpersonal skills.
Currently or previously an expert in a modern programming language, data science, and machine learning techniques.. You also have a working knowledge of a Unix environment.
Minimum of a BA or BS degree in Computer Science or engineering, with a MS or PhD preferred.