Senior Security Engineer
Company Overview
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
Intuit values the security of customer and employee data, across multiple enterprise platforms, against insider risk. Our Workforce Security Data Loss Prevention ( DLP ) team is on strategic forefront to secure and protect the Intuit Ecosystem, as the industry transforms with Artificial Intelligence and Machine Learning, The ideal candidate will join a team of motivated & creative security engineers with a passion for solving complex security problems through technology.
We are seeking a Senior Security Engineer to design and implement Data Loss Protection capabilities for complex security use cases, identifying bad actor threat behaviors and preventing/reducing malicious behavior within Intuit platforms ecosystem. You will be on the forefront, using and securing with AI technology. You will play a critical role in understanding & identifying security risk and apply strong engineering skill to implement end to end solutions.
Responsibilities
- Partner with stakeholders ( leaders, architects, engineers, and business units ) to understand security risk and to collaborate on design, development, deployment and supporting complex end-to-end security capabilities.
- Works on significant initiatives that are broad in scope and complexity, may cross several functional and organizational boundaries, and cover a wide range of issues
- Responsible for evaluating, influencing, and recommending technology and product direction. Leverage AI/ML to accelerate the velocity to secure the enterprise.
- Stay up-to-date on the latest GenAI security threats/usage and trends through continuous research and professional development.
- Monitor and analyze GenAI security data and detect worker behavior patterns and facilitate implemented policies to prevent suspicious activities.
- Contribute to the design and architecture of the projects, by creating and maintaining technical documentation, technical specifications, and test plans.
- Develops, deploys, and operates security controls from endpoint agents, security policies, and downstream feeds/reporting.
- Keep up to date on the latest technologies and industry trends and apply innovative solutions to solve customer problems.
- Develops a culture of innovation on the team and encourages to explore new ideas
Qualifications
- BS/MS in Computer Science or related area or equivalent relevant experience
- 6+ years of Data Loss Prevention ( DLP ) & Privilege Elevation Security Experience.
- Strong Analytical, Problem solving, and creative mindset
- Experience with using and securing ML/AI is a strong plus.
- Strong experience with industry Security Products ( Netskope, Zscaler, CrowdStrike, CyberArk ) with Python, JSON, Jira skills, and AWS.
- Strong experience with deploying and managing DLP security products.
- Excellent communication skills. Communicates clearly, succinctly, and persuasively to all levels of employees, customers, and management
- Strong DevOps and SecOp Experience
- Experience with various Software Development Lifecycle Process ( Agile Development, SCRUM methodologies. Etc.)
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is Bay Area California $163,500 - 221,000, Southern California $155,500 - 210,500. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
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