ioasys

iOS Engineer

• Manter e criar novas funcionalidades para clientes do mercado nacional e internacional em Swift;
• Otimizar as interfaces para melhorar a performance e garantir a boa usabilidade dos APPs;
• Escrever códigos eficientes, reutilizáveis e de fácil manutenção;
• Discutir possíveis soluções entre os times de UX, Back-end e Front-end;
• Automatização de testes.

Desenvolvedora iOS

Android Engineer

• Maintain and develop new features for national and international clients using Kotlin;
• Optimize interfaces to improve performance and ensure good app usability;
• Write efficient, reusable, and maintainable code;
• Discuss potential solutions with UX, Back-end, and Front-end teams;
• Implement automated testing.

Android Developer

Infrastructure Engineer

• Design, develop and evolve solution architectures in cloud environments (AWS and Azure);
• Work hands‑on in the implementation and support of solutions across multiple projects;
• Model and document technical architectures, ensuring standardization and governance;
• Support development and infrastructure teams in building scalable and secure solutions;
• Provide technical leadership for architecture initiatives and support technical decision‑making;
• Develop and support DevOps, CI/CD strategies and infrastructure automation;
• Build and support integrations between systems and APIs;
• Work with Linux and Windows environments in corporate contexts;
• Support architecture definitions oriented to microservices and application modularization;
• Participate in agile ceremonies and team routines, contributing technical guidance;
• Collaborate with multidisciplinary teams to gather and understand technical and business requirements;
• Propose continuous improvements to processes, tools and architectures;
• Ensure best practices for security, availability, performance and observability of solutions;
• Share technical knowledge and support the development of team members;
• Assist in defining architectural standards and best practices for development and infrastructure.

Infrastructure and Cloud Architect

Backend Engineer

• Participar ativamente do time para avaliar e aprimorar códigos, avaliando implementação e verificação no código;
• Criação e manutenção de serviços na web com regras de negócio complexas e dinâmicas.
• Escrever códigos eficientes, reutilizáveis e de fácil manutenção;
• Discutir possíveis soluções entre os times de UX, Back-end e Front-end;

Desenvolvedor Python

AI Engineer

• Develop, train and optimize AI and Machine Learning models;
• Structure data pipelines for model training and inference;
• Implement AI solutions in production and scalable environments;
• Work closely with product, engineering, data and business teams;
• Evaluate performance, accuracy and efficiency of developed models;
• Research and apply new technologies, frameworks and AI best practices;
• Ensure governance, security and quality of implemented solutions;
• Support intelligent automation initiatives and the use of generative AI.

Full-stack Engineer

• Liderar tecnicamente iniciativas de engenharia de dados, atuando como referência para o time;
• Controlar, administrar e otimizar ambientes Databricks;
• Gerenciar e evoluir componentes em nuvem AWS e Azure, garantindo performance, escalabilidade e otimização de custos;
• Desenvolver soluções utilizando Python e Spark;
• Definir e implementar melhores práticas para armazenamento de dados relacionais e não relacionais;
• Atuar na implementação e evolução de ambientes Data Lake e Data Warehouse;
• Definir e desenvolver soluções DevOps utilizando Docker e Kubernetes;
• Discutir e definir arquiteturas e estratégias para integração entre sistemas;
• Apoiar a construção e evolução de processos de governança de dados;
• Apoiar tecnicamente o time na tomada de decisões e resolução de problemas complexos;
• Propor melhorias contínuas em arquitetura, processos e ferramentas;
• Trabalhar em conjunto com áreas de negócios e tecnologia para entendimento de requisitos e definição de soluções;
• Garantir a documentação técnica das soluções e processos implementados;
• Atuar na sustentação e evolução de pipelines de dados escaláveis e eficientes;
• Fornecer direcionamento técnico e disseminar boas práticas para o time de engenharia.

Tech Lead, Dados

Product Designer

• Identify opportunities and drive improvements in the customer experience;
• Validate new implementations, identifying fixes for delivered features;
• Correct processes and features that impact the user experience;
• Plan, run, and facilitate co-creation workshops and innovation projects using a Design Thinking approach for ioasys's internal and external clients;
• Create prototypes, map user flows and processes, and manage projects while testing usability;
• Apply user research methods and develop prototypes;
• Prepare reports and synthesize results;
• Approach new implementations with a focus on improving the customer experience;
• Validate features (including their communication and integration elements) across all channels and touchpoints;
• Monitor and analyze projects involving customer experience;
• Ensure application of the Design System and Brand ID across digital channels.

Data Engineer

• Platform Development and Evolution: Design, develop, and evolve robust, scalable data platforms;
• Architecture Ideation and Implementation: Lead the ideation and implementation of new data architectures;
• Automation and Scalability: Build automated, scalable data pipelines;
• Documentation and Knowledge Sharing: Document processes and systems in detail;
• Reporting and Communication: Produce detailed technical reports and present them to stakeholders;
• Cross-disciplinary Collaboration: Work with data science and data engineering teams to gather and understand requirements;
• Evaluate and incorporate new technologies in collaboration with the Architecture team;
• Mentor junior and mid-level data engineers;
• Propose continuous improvements to processes and tools;
• Help define and implement data architectures (Data Lake, Lakehouse, Data Mesh, etc.);
• Engage with business and technology stakeholders to create a compelling vision for a data-driven organization and produce artifacts that promote code reuse;
• Work closely with clients to design, implement, and manage solutions that meet their technical requirements and business objectives;
• Provide technical guidance and best practices throughout project lifecycles and day-to-day operations;
• Deep knowledge of Cloud products and services (AWS, Azure, S3);
• Proficient in designing complex, scalable, and secure solutions tailored to the needs of each area and project;
• Collect requirements, assess current infrastructure, and propose Cloud strategies, improvements, and governance;
• User Management: Create, modify, and remove users, and manage their access credentials and roles;
• Access Control: Grant and revoke privileges on Snowflake objects such as tables, schemas, and warehouses;
• Security Configuration: Implement security policies, such as MFA (Multi-Factor Authentication) and access auditing;
• Monitoring and Resource Management: Track account usage, including storage and compute consumption, to ensure efficiency and cost-effectiveness;
• Data Management.

Data Architect

• Prepare technical architecture and design documents;
• Manage the Databricks environment;
• Manage cloud components on AWS, Azure, and GCP;
• Develop solutions using Java, Python, Spark, and Scala;
• Configure networking components in hybrid environments;
• Define best practices for relational and non-relational data storage;
• Implement improvements to Data Lake and Data Warehouse environments;
• Implement and manage SQL and NoSQL databases;
• Define and develop DevOps, Docker, and Kubernetes solutions;
• Discuss and determine the best approaches for system integrations;
• Support the creation of data governance processes;
• Discuss the best solutions to support the company’s self-service BI strategy.