Sr. Security Engineer

What You'll Do

• DLP Architecture & Operations Design and deploy DLP capabilities that understand data sensitivity, business context, user intent, and behavioral risk, rather than relying solely on patterns or keywords.
• Build detection rules for source code, hardware design files, algorithms, product roadmaps, and other IP artifacts (e.g., complex regex, fingerprints, EDM/IDM, ML-based classifiers).
• Tune and optimize policies to reduce false positives/negatives; implement tiered response workflows and auto-remediation actions.
• Establish monitoring for egress vectors (USB/removable media, print, email, SaaS, personal webmail, messaging, generative AI tools, cloud sync).
• Develop detections for anomalous IP access/exfil patterns (e.g., code repo mirroring, bulk downloads, atypical off-hours activity).
• Identify early indicators of IP misuse or exfiltration through behavioral analytics rather than reactive alerting.
• Define guardrails for the secure use of generative AI tools, ensuring proprietary data and IP are protected from unintended disclosure Author and maintain IP protection standards, DLP/runbooks, and exception processes.
• Define and track KPIs/KRIs (e.g., DLP alert quality, mean time to triage/close, exfil attempts prevented, classification coverage).
• Data Classification & Labeling Implement scalable AI-assisted data discovery across endpoints, cloud services, SaaS platforms, and code repositories to identify previously unknown or unclassified IP.
• Implement and scale enterprise data classification and labeling for IP-heavy content.
• Drive adoption via policy-based auto-labeling, built-in nudges, and sensitivity label inheritance through workflows and repositories.
• Implement conditional access, DRM, and rights management for sensitive content shared internally and externally.
• Qualifications and Experience Strong understanding of AI concepts, machine learning pipelines, and automation tools.
• Hands-on experience or coursework in Copilot Studio, UiPath, and SharePoint.
• Knowledge with cloud AI platforms: Azure AI Foundry, AWS Bedrock, etc.
• Experience in leveraging, creating, and driving AI in DLP solutions 3-5+ years in information security with hands-on DLP and/or data classification/labeling at scale.
• Proven experience designing and tuning DLP policies for endpoints, email, web, and SaaS Practical knowledge of IP data types (source code, firmware, design files, algorithms, roadmaps) and how they move across an enterprise.
• Strong operational understanding of using custom keywords and dictionaries Strong knowledge of networking and operating systems Knowledge of cloud service providers, including Azure, AWS, and GCP Hands-on expertise SIEM/SOAR platforms.
• Scripting/automation proficiency (PowerShell, Python, or Splunk SPL).
• Excellent written and verbal communication skills Education: B.Tech degree in Computer Science, Computer Engineering, other technical disciplines, or equivalent work experience.
• Candidates with a master’s degree in technology or science and relevant professional certifications are preferred.
• About Micron Technology, Inc.
• We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all .
• With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands.
• Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.
• To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_india@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
• Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
• AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials.
• However, all information provided must be accurate and reflect the candidate's true skills and experiences.
• Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
• Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.