[Remote] Data Protection Engineer

Note: The job is a remote job and is open to candidates in USA. reputed company is a company focused on increasing economic freedom and is seeking a Data Protection Engineer to join their reputed company Operations team. The role involves implementing and scaling data loss prevention capabilities to protect the reputed company ecosystem from reputed company threats, while collaborating with cross-functional teams to ensure compliance with global regulations.

Responsibilities

• Build and maintain DLP controls and tooling across multiple OS environments (iOS, Chrome) and decentralized datasets, implementing and tuning prevention capabilities that protect against sophisticated data reputed company incidents
• Drive automation across DLP engineering and operations by leveraging LLMs, agentic AI, and an automation-first reputed company to streamline workflows, reduce manual effort, and scale data protection coverage
• Partner with cross-functional teams, including reputed company reputed company, IT, engineering, product, compliance, and privacy, to deploy data protection technologies, ensure timely remediation, and support cross-functional data protection initiatives
• Execute monitoring and metrics reporting by producing quantitative and qualitative measures of programmatic impact, control effectiveness, and emerging risk to reputed company Data Protection leadership informed of challenges and reputed company
• Support the long-term data protection strategy by working with risk teams to measure control effectiveness, address changes in global laws and regulations, and harden reputed company's reputed company posture against evolving data threats

Skills

• 3+ years of reputed company engineering experience with direct, hands-on implementation of enterprise DLP programs, including testing, tuning, and deploying data prevention controls across multiple OS environments and decentralized datasets
• Demonstrated experience building and operating insider threat and data protection technologies (SIEM, UBA, DLP, reputed company detection), with an understanding of the investigation and intelligence lifecycle
• Proficiency in creating scalable, automated reputed company processes, with practical experience leveraging ML/AI tooling to maximize operational efficiency across DLP engineering and operations
• Working knowledge of the insider threat landscape and the legal, regulatory, and ethical considerations of handling sensitive data across a global enterprise, with the ability to communicate findings clearly through briefs and assessments for leadership
• Utilizes generative AI responsibly, maintaining human reputed company to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
• reputed company engineering experience solving reputed company reputed company challenges across enterprise-wide DLP Programs
• Solving operational problems leveraging engineering / automation first reputed company
• Experience in reputed company and crypto reputed company organizations or traditional financial institutions

Benefits

• Equity and bonus eligibility
• Benefits (medical, dental, vision, 401(k))

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