
51 - 200 employees
Founded 2010
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Sciensa is an InfraTech company that designs, builds and operates scalable, secure digital infrastructure and AI-driven products for the financial sector. It provides data and generative AI solutions, API integrations (including Databricks), cloud and cybersecurity services, Salesforce platform implementations, and custom development to help banks, digital banks and fintechs accelerate product delivery, governance and customer journeys. Sciensa also offers talent and consulting services and industry-specific accelerators for finance.
🕒 August 6
🗣️🇧🇷🇵🇹 Portuguese Required
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51 - 200 employees
Founded 2010
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Sciensa is an InfraTech company that designs, builds and operates scalable, secure digital infrastructure and AI-driven products for the financial sector. It provides data and generative AI solutions, API integrations (including Databricks), cloud and cybersecurity services, Salesforce platform implementations, and custom development to help banks, digital banks and fintechs accelerate product delivery, governance and customer journeys. Sciensa also offers talent and consulting services and industry-specific accelerators for finance.
• Develop APIs and services using Quarkus • Build decision engines using Drools and DMN • Develop integrations and CI/CD pipelines • Implement automated tests • Use AI tools to boost productivity while maintaining technical review • Build the intelligent core of a decision platform • Work on services responsible for the platform's critical decisions
• Experience with Java, Quarkus, or Spring Boot • Knowledge of REST APIs • Knowledge of CI/CD • Experience with automated testing • Knowledge of or interest in BRMS (Drools/DMN) • Good communication skills • Systems thinking • Collaborative technical leadership • Ability to mentor • Pragmatic mindset • Ability to work with multiple teams and across different technology contexts • Microservices (nice to have) • Event-Driven Architecture (nice to have) • Decision Management (nice to have) • Use of AI copilots and agents (nice to have)
• Equipment provided by Sciensa, according to area/project needs • Environment with high technical complexity • Opportunity for technical growth • Culture of engineering best practices • Collaborative, results-oriented teams • Environment balancing autonomy and governance • Real and meaningful technical challenges • Room to influence architecture and technical decisions • Close collaboration with the business, with direct impact on deliveries
Apply Now🕒 August 2
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🗣️🇧🇷🇵🇹 Portuguese Required
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🗣️🇧🇷🇵🇹 Portuguese Required
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