Security Operations Data Loss Prevention Engineer

We need to output HTML fragment with sections: About the role? The posting includes a description before "THE ROLE". We need to use

for section headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must not repeat job title as heading. We need to include sections only when posting has real specific content. We have content: description of role (What You'll Do) is responsibilities. "What You Bring" is requirements/qualifications/skills. There's also "Workplace Location" maybe part of responsibilities? Could be part of responsibilities or maybe a separate section like "Workplace". Not in list of allowed headings; we can embed in responsibilities or maybe not create a separate heading. We have salary range: "The Annual Base Salary Range Is $205,000—$308,000 USD". Also mention incentive pay/equity. So we can create Pay section with that. Benefits: mention flexible time off, wellness resources, company-sponsored team events, link to benefits page. Also mention Fortune's Best Workplaces etc. So Benefits section. Schedule: not mentioned explicitly; we have workplace location (in-office). Could infer schedule? Not given. So we should not create Schedule section unless posting states it. It does not. So omit Schedule. We need to remove boilerplate: cookie/navigation/legal/EEO etc. The posting includes EEO statement at end; we must remove that. Also remove "Accommodations And Accessibility", "Our Commitment To a Strong And Inclusive Team", etc. Also remove "Join us and bring your best..." etc. Also remove "The Annual Base Salary Range Is ..."? That's pay, keep. Also remove "There is no application deadline..." etc (application instructions) - remove. Also remove "Salary ranges are determined based on role, level and location..." maybe part of pay but it's generic; we can keep as part of Pay? It's somewhat generic but still about salary. Might keep but it's not specific? It says "For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. This role may be eligible for incentive pay and/or equity." That's still pay info. Keep. We need to preserve all substantive information. So we need to include the introductory paragraph about Everpure etc? That's about company; maybe part of About the role? Could be a brief intro. The instruction: "use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." So we can have About the role section containing the introductory paragraph about Everpure and the role summary. Then Responsibilities (

) containing "What You'll Do" bullet points. Then Requirements/Qualifications/Skills maybe combine? We have "What You Bring" which includes required and preferred skills. Could split into Requirements (mandatory) and Skills (preferred). But we can also just have a single "Requirements" section with both required and preferred. However we have headings list includes Requirements, Qualifications, Skills. We could use Requirements for mandatory, Skills for preferred. Let's parse: What You Bring (mandatory): - Enterprise DLP Ownership: Demonstrated experience owning or materially contributing to an enterprise DLP or data-protection program across architecture, deployment, policy design, tuning, operations, and continuous improvement. - Technical DLP Expertise: Hands-on experience with enterprise DLP technologies such as Microsoft Purview, Zscaler, Netskope, Forcepoint, Broadcom/Symantec, Trellix, CrowdStrike Data Protection, or equivalent platforms. - Detection Engineering: Strong experience with regex, EDM/IDM, document fingerprinting, data classification, custom classifiers, and detection tuning, including reducing false positives while maintaining effective coverage. - Data Discovery & Cloud Protection: Experience with data discovery, classification, CASB/SaaS security, cloud data protection, and controls for sensitive data across enterprise and cloud environments. - Automation & Investigation: Experience using Python, PowerShell, REST APIs, SIEM, and/or SOAR platforms to automate response, analyze telemetry, and improve operational outcomes. - Security & Privacy Frameworks: Working knowledge of data-protection and security frameworks such as NIST CSF, ISO 27001, SOC 2, GDPR, CCPA, PCI DSS, and HIPAA. - Communication & Judgment: Ability to translate complex data-protection risks into clear decisions and business outcomes for technical teams, cross-functional partners, executives, auditors, and other stakeholders. You know how to balance effective controls with user experience and business needs. Preferred / Plus Skills: - Experience with AI/GenAI data protection, DSPM, insider risk, privacy engineering, or source-code and secrets protection. - Experience securing data in AWS, Azure, or GCP, or integrating data-protection controls into CI/CD, DevSecOps, containers, or Kubernetes. - Background in application security, cloud security, or privacy engineering. - Experience communicating data-protection strategy and posture to executives, auditors, regulators, or enterprise customers. - Relevant security, privacy, or cloud certifications such as CISSP, CISM, CIPP, GIAC, SC-400, or equivalent. We could put mandatory under Requirements, preferred under Skills. Also we have Workplace Location: "We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara or Lehi office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave." This could be part of Responsibilities or maybe a separate section like "Workplace". Not in allowed headings; we could embed in Responsibilities as a note. But maybe better to include under Responsibilities as a bullet? It's not a duty but a condition. Could be part of About the role? Probably include in Responsibilities as a note. Benefits: "What You Can Expect From Us Innovation: ... Growth: ... Team: ... We offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out http://benefits.everpuredata.com/ for more information." Also mention Fortune's Best Workplaces etc. So we can create Benefits section with those points. Pay: include salary range and incentive/equity note. Now we need to output only HTML fragment, no markdown fences. Let's craft:

About the role

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. As our Security Operations Data Loss Prevention (DLP) Engineer, you will own and elevate Everpure’s enterprise data protection strategy across every digital and physical vector. In this high-impact individual contributor role, you will establish data governance standards and architect practical controls that safeguard customer information, source code, intellectual property, and other sensitive assets without hindering business velocity. You will partner with Engineering, Legal, Privacy, DevSecOps, and GISO leadership to define how sensitive data is discovered, classified, monitored, and protected across the enterprise.

Responsibilities

• Architect Enterprise DLP Strategy: Own and mature the multi-channel DLP program end to end across endpoint, network, SaaS, application, cloud, and generative AI environments. Define program metrics, track outcomes, evaluate build-versus-buy decisions, and report data-protection posture to GISO leadership.
• Establish Data Standards & Governance: Author data-classification frameworks, handling requirements, and exception processes. Maintain a sensitive-data map with data owners so the organization understands where regulated and proprietary data lives, how it is classified, and who is accountable for it.
• Protect Endpoints & Physical Channels: Design and operate controls across macOS, Windows, and Linux, including removable media, printing, clipboard, screen capture, and local cloud-sync channels. Define requirements for hard-copy handling, device disposal, and media sanitization, including the specific needs of manufacturing and lab environments.
• Protect Network, Application & Cloud Data: Define egress inspection strategies across email, web, and general network traffic, including practical SSL/TLS inspection boundaries and encrypted-flow visibility. Detect and prevent sensitive-data movement through applications, APIs, databases, file shares, CI/CD systems, and unstructured repositories while partnering with Cloud and DevSecOps teams across AWS, Azure, and GCP.
• Protect AI Workflows & Sensitive Assets: Establish practical guardrails for sensitive data flowing into and out of public AI assistants, embedded copilots, internal models, and agentic tools. Address prompt content, file uploads, context windows, tool integrations, source code, and build-system secrets while enabling safe AI adoption.
• Build Detections & Automate Response: Design, tune, and maintain high-fidelity DLP detections using regex, exact data match (EDM), indexed document matching (IDM), document fingerprinting, custom classifiers, and contextual conditions. Develop SIEM queries, correlate DLP events with identity, asset, vulnerability, and threat context, and integrate telemetry with SOAR platforms to reduce false positives and manual response effort.
• Lead Investigations & Continuous Improvement: Direct investigations into significant data-loss events by reconstructing what left the enterprise, through which channel, and with what impact. Serve as the escalation point for complex findings, brief Legal, Privacy, HR, and leadership clearly, support audit and compliance engagements, and maintain runbooks, architectural diagrams, and program documentation.
• Workplace Location: Expected to work from the Santa Clara or Lehi office (in‑office) unless on PTO, work travel, or other approved leave.

Requirements

• Enterprise DLP Ownership: Demonstrated experience owning or materially contributing to an enterprise DLP or data‑protection program across architecture, deployment, policy design, tuning, operations, and continuous improvement.
• Technical DLP Expertise: Hands‑on experience with enterprise DLP technologies such as Microsoft Purview, Zscaler, Netskope, Forcepoint, Broadcom/Symantec, Trellix, CrowdStrike Data Protection, or equivalent platforms.
• Detection Engineering: Strong experience with regex, EDM/IDM, document fingerprinting, data classification, custom classifiers, and detection tuning, including reducing false positives while maintaining effective coverage.
• Data Discovery & Cloud Protection: Experience with data discovery, classification, CASB/SaaS security, cloud data protection, and controls for sensitive data across enterprise and cloud environments.
• Automation & Investigation: Experience using Python, PowerShell, REST APIs, SIEM, and/or SOAR platforms to automate response, analyze telemetry, and improve operational outcomes.
• Security & Privacy Frameworks: Working knowledge of data‑protection and security frameworks such as NIST CSF, ISO 27001, SOC 2, GDPR, CCPA, PCI DSS, and HIPAA.
• Communication & Judgment: Ability to translate complex data‑protection risks into clear decisions and business outcomes for technical teams, cross‑functional partners, executives, auditors, and other stakeholders; balance effective controls with user experience and business needs.

Skills

• Experience with AI/GenAI data protection, DSPM, insider risk, privacy engineering, or source‑code and secrets protection.
• Experience securing data in AWS, Azure, or GCP, or integrating data‑