
Cybersecurity • Fintech • SaaS
Incognia is a company that specializes in fraud prevention and frictionless authentication solutions, using advanced device and location technology. They provide solutions for various industries including food delivery, ride sharing, P2P marketplaces, and financial services, focusing on preventing driver fraud, multi-accounting, listing scams, identity fraud, and account takeover. Incognia's platform offers features such as device fingerprinting and tamper detection, as well as location identity verification that ensures secure and seamless digital experiences for legitimate users. Trusted by leading companies, Incognia's solutions reduce fraud and improve user trust and safety, with reliable performance at scale.
51 - 200 employees
Founded 2019
🔒 Cybersecurity
💳 Fintech
☁️ SaaS
September 24
🗣️🇧🇷🇵🇹 Portuguese Required

Cybersecurity • Fintech • SaaS
Incognia is a company that specializes in fraud prevention and frictionless authentication solutions, using advanced device and location technology. They provide solutions for various industries including food delivery, ride sharing, P2P marketplaces, and financial services, focusing on preventing driver fraud, multi-accounting, listing scams, identity fraud, and account takeover. Incognia's platform offers features such as device fingerprinting and tamper detection, as well as location identity verification that ensures secure and seamless digital experiences for legitimate users. Trusted by leading companies, Incognia's solutions reduce fraud and improve user trust and safety, with reliable performance at scale.
51 - 200 employees
Founded 2019
🔒 Cybersecurity
💳 Fintech
☁️ SaaS
• Desenvolvimento e evolução do SDK Android e iOS • Melhoria contínua da arquitetura dos SDKs • Pesquisa e implementação de soluções para aumento da segurança contra ataques externos • Aprimoramento das detecções de fraude em aplicações de clientes • Implementação de processos de coleta, recebimento e armazenamento de dados, viabilizando uso por outros times • Colaborar no pipeline completo (da pesquisa à implementação), otimizar performance e arquitetura • Investigar novos tipos de fraude e trabalhar com constraints críticas de recursos (threads, memória, processamento)
• Formação em Ciência da Computação, Engenharia da Computação, Engenharia de Software ou afins • Experiência sólida em desenvolvimento Android (Kotlin ou Java) e iOS (Swift ou Objective-C) • Inglês avançado, com capacidade de comunicação com clientes externos quando necessário • Forte conhecimento de arquitetura de software • Domínio de estruturas de dados e algoritmos • Experiência em design patterns e boas práticas de desenvolvimento • Conhecimento em testes automatizados (unitários, instrumentados)
• Confira nossos benefícios em nosso e-book - https://shorturl.at/fgW12
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