Senior Principal Security Engineer at Workday acting as technical contact for Enterprise Security. Bridging cybersecurity strategy with hands - on execution to tackle complex security challenges.
About the role
- Principal Engineer implementing generative AI for cybersecurity at Wells Fargo. Act as a strategic advisor to leadership while overseeing security and AI initiatives.
Responsibilities
- Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
- Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
- Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
- Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
- Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
- Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
- Lead the transition of critical AI components from experimental phases to high-availability production environments.
- Oversee the design and development of system-wide integrations, emphasizing database and systems design, networking, and stream processing to ensure a cohesive security posture.
- Leverage deep experience in managing massive data sets to reduce operational overhead, optimize infrastructure billing, and ensure long-term data transparency.
- Direct large-scale refactoring efforts to move legacy or monolithic applications toward high-performance, API and Agent focused, and loosely coupled architectures.
- Promote high-quality engineering practices and mentor junior and senior-level staff to foster a culture of pragmatic, diverse technical knowledge.
- Demonstrated success in varied sectors, including building, managing, and securing infrastructure.
- A proven track record of managing data and refactoring systems to support large-scale, high-concurrency usage.
- Extensive experience navigating the full evolutionary cycle of modern computing—from managing on-site hardware and co-located servers to architecting serverless and cloud-native solutions.
- The ability to act as an engineer for rapid product lifecycles while also leading large-scale enterprise integration projects for global clients.
Requirements
- 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Advanced knowledge of software design, systems and database architecture, systems administration, stream processing, and large language models.
- 5+ years of experience in senior or lead roles across multiple high-stakes environments, consistently delivering value through technical leadership.
- Experience with leadership presentations, organizing complex concepts into easy to understand business narratives
- M.S. in Computer Systems or B.S. with relevant experience.
- Experience working with data and engineering teams to optimize reports, dashboards and ETL processes.
- Hands on knowledge of reporting and analytical tools such as Tableau, PowerBI, Python, Alteryx etc., as well as JIRA, Github and the Microsoft Fabric ecosystem including Power Apps and Power Automate.
- Knowledge of machine learning concepts is a plus.
- Hands on experience leveraging Python, SQL, Cron, and other analytic enablement tools
- Strong book-of-work management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- Experience leading risk projects to deliver complex data driven risk management solutions
- Hands-on ability to manipulate data and tools to prototype and present solutions
- Confident and self-motivated producer of original ideas and solutions, with sound judgment for when to escalate issues
- Strong written and verbal communicator with excellent presentation skills.
Benefits
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
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