The Lead Data Security Engineer will define and implement strategies for protecting corporate and production data across cloud, SaaS, and internal systems. This role involves managing DLP and ZTNA policies, monitoring for insider threats, and collaborating with engineering teams to ensure security by design.
iFood
18 Remote Job Openings at iFood
Lead and manage technology teams while fostering a collaborative and innovative work environment. Develop and implement technological strategies that align with business objectives and facilitate communication between technical and non-technical stakeholders.
The role involves acting as a focal point for technology and cybersecurity audits while managing compliance with standards like PCI DSS and ISO 27001. Additionally, the professional will develop internal security policies and perform risk analyses to identify and mitigate vulnerabilities.
The Senior Data Security Engineer is responsible for implementing and operating data protection controls to secure sensitive corporate information. This includes managing DLP policies, investigating data exposure incidents, and ensuring compliance with regulatory frameworks like LGPD and GDPR.
The Data Security Manager is responsible for the end-to-end management of corporate and production data security programs, including strategy, policy enforcement, and risk mitigation. This role involves leading a team of specialists, driving AI adoption for security, and communicating complex risk scenarios to executive leadership.
The Lead Data Security Engineer is responsible for protecting corporate and production data by defining security strategies and implementing controls across SaaS, cloud, and internal systems. This role involves leading DLP and ZTNA initiatives, managing data classification policies, and collaborating with engineering teams to ensure security by design.
Lead the design and evolution of AWS-first security architectures for large-scale systems, ensuring platforms and workloads are secure by design and scalable. Act as the primary technical reference for cloud security, collaborating with cross-functional teams to define standards, automate controls, and mentor engineering staff.
Design and execute comprehensive security awareness programs, including phishing simulations and behavioral risk assessments. Collaborate with cross-functional teams to integrate security culture into corporate communications and onboarding processes.
Design, build, and lead the Cyber Threat Intelligence function, establishing strategy, operational models, and roadmaps for strategic, operational, and tactical intelligence. Act as the primary interface for stakeholders, translating complex threat scenarios into actionable briefings for technical teams and business executives.
Lead complex investigations into sophisticated threat actors targeting the financial sector and develop advanced threat intelligence frameworks. Establish quality standards for intelligence products while mentoring junior analysts and collaborating with incident response and fraud prevention teams.
Design and execute comprehensive security awareness campaigns, including phishing simulations and behavioral risk assessments. Collaborate with cross-functional teams to integrate security culture into corporate processes and develop engaging educational content.
The analyst will execute the full threat intelligence lifecycle, including collection, processing, and analysis to support incident response and fraud prevention. They will also monitor threat feeds, produce tactical intelligence reports, and collaborate with security and engineering teams to mitigate risks.
Investigate and resolve critical incidents in AWS and Kubernetes environments while leading technical resolution and prevention efforts. Develop internal solutions using Go and Python and establish operational standards through SLOs, SLIs, and RFCs.
The role involves active prospecting of iFood partners and managing a portfolio of opportunities to present new business solutions. The executive will handle the entire sales funnel from demand generation to closing via virtual meetings and CRM management.
Evolve the credit platform architecture focusing on scalability, resilience, and critical solution coding. Mentor engineers in design best practices and build robust observability through dashboards and metrics.
Develop AI-driven automations and agents to improve productivity and quality across the company. Conduct experiments and collaborate with cross-functional teams to implement scalable AI tools and processes.
Evolve the credit platform architecture with a focus on scalability, resilience, and observability. Mentor engineers and develop critical technical solutions while collaborating with partner teams for internal clients.
Design and develop ETL code and data pipelines to expand the Enterprise Data Lake. Collaborate with teams to collect business requirements and maintain high-scale data products and documentation.