Research, design and implement AI-based cybersecurity solutions (such as local Machine Learning/Deep Learning models) for threat detection and vulnerability mitigation in Android systems;
Contribute to architectural design and develop new complex features and improvements for mobile development projects;
Actively participate in the development of Android applications and services, with a focus on framework-level and embedded Android;
Promote and ensure best practices related to coding, software architecture, information security and data engineering;
Maintain strict technical alignment with domestic and international stakeholders.
Requirements
Hands-on experience applying Artificial Intelligence / Machine Learning techniques (e.g., TensorFlow Lite, Scikit-learn, Generative AI APIs, among others) to data analysis, anomaly detection or security;
Knowledge of the Android ecosystem, system services and advanced use of framework-level APIs;
Proficiency in Java and/or Kotlin;
Strong understanding of object-oriented programming, design patterns, data structures and clean software architecture;
Solid experience in secure Android system development;
Advanced knowledge of code versioning tools, branch management and CI/CD pipelines (preferably Git);
Autonomy, ability to provide technical mentorship to less experienced engineers and skill in managing complex priorities;
Excellent ability to produce architectural technical documentation and research/innovation reports;
Bachelor’s degree in Computer Science, Computer Engineering or related fields;
Advanced English for reading, writing and speaking.
Tech Stack
Android
Java
Kotlin
Tensorflow
Benefits
40-hour workweek under CLT employment, flexible hours with a hybrid model (4 days in the office and 1 day remote);
Gympass (WellHub, workplace exercise, quick massage and psychological support);
Health and dental insurance for you and your family;
Childcare allowance, 120-day maternity leave and extended paternity leave;
SiDi contributes to private pension plans;
Program to support continued education and specialization, incentives to help our employees become fluent in other languages, and weekly lecture cycles on global trend topics;
Flexible meal and food vouchers;
Commuting subsidy and parking for those working in the office;
Annual performance bonus and awards for employees who deliver outstanding results;
Committees focused on Well-being, Diversity, Mental Health, Social Initiatives, Sustainability and Women’s Inclusion in Technology;
Relaxed, collaborative environments with communal spaces, a decompression room, kitchen and coffee machine;