Senior Data Security Engineer

Job not on LinkedIn

🔥 3 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

iFood

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🍽️ Food & Beverage

📦 Logistics

📣 Marketing

Food & Beverage • Logistics • Marketing

iFood is a leading food delivery platform based in Brazil, connecting customers with a wide array of restaurants and food options. The company leverages cutting-edge technology and artificial intelligence to improve customer experience, streamline operations, and enhance delivery logistics. iFood fosters a diverse and inclusive work environment, focusing on sustainability and the positive impact of its services on the community.

📋 Description

• Operate and fine‑tune DLP policies for endpoints, cloud applications, and communication channels — reducing false positives while maintaining effective detection coverage. • Investigate DLP alerts and data exposure incidents: correlate signals, assess severity, and contribute findings to CSIRT investigations. • Support the implementation and enforcement of data classification policies and data-handling procedures for internal users and third parties. • Monitor and strengthen security configurations of corporate SaaS platforms: Google Workspace, Salesforce, Databricks, Slack, and similar tools. • Support the enforcement of Document Retention & Disposal policies — ensuring corporate data is retained, archived, and disposed of in compliance with LGPD, GDPR, and internal requirements. • Monitor insider-threat indicators and contribute to behavioral-analytics rules that detect anomalous data access or movement. • Support the enforcement of device posture policies — ensuring only compliant devices access corporate systems. • Participate in Sensitive Data Mapping initiatives — helping to identify, catalog, and classify sensitive data assets in corporate and production environments. • Use AI tools to improve DLP policy quality, accelerate alert triage, and identify patterns in data exposure events. • Create and maintain operational metrics on alert volumes, policy violations, false-positive rates, and remediation progress. • Document findings, decisions, and processes clearly to support team knowledge and operational continuity.

🎯 Requirements

• Hands-on experience with DLP tools and policies in corporate and production environments. • Knowledge of data classification concepts and how to apply them in practice. • Experience investigating data exposure incidents and correlating signals from multiple sources. • Familiarity with SaaS security hardening (Google Workspace, Salesforce, or similar). • Knowledge of regulatory frameworks: LGPD, GDPR, PCI-DSS, BACEN, among others. • Experience using AI tools to accelerate investigations, reduce noise, or automate repetitive security tasks. • Detail-oriented and analytical: ability to trace a data exposure signal to its root cause. • Autonomous and well-organized: ability to manage own work, escalate when necessary, and document findings clearly. • Collaborative: works well with CSIRT, IT, Legal, engineering teams, and other stakeholders. • Advanced English (required). • Experience with SASE platforms (Netskope, Zscaler) or similar is a plus.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development