Technical Leadership and Mentorship: Guide the development of internal and external teams, ensuring the application of best practices, design patterns and code quality through Code Reviews;
Architecture Design: Define and evolve the architecture of applications, ensuring solutions are scalable, secure and maintainable;
DevOps Liaison: Act as the technical point of contact with the DevOps center, defining infrastructure requirements, CI/CD pipelines and deployment strategies;
Quality and Security Management: Implement automated testing strategies and ensure software meets security and data protection requirements (GDPR);
Requirements Translation: Collaborate with management to convert business needs into clear, actionable technical specifications;
Technical Documentation: Ensure maintenance of up-to-date architecture and system documentation to preserve knowledge continuity.

Degree in Computer Science, Software Engineering, Computer Engineering, Telecommunications Engineering, Network and Computer Systems Engineering, Information Systems, Management Informatics or similar;
Minimum of 7 years' experience in software development, with prior experience in technical leadership or architecture roles;
Technical Proficiency: Strong knowledge of programming languages (e.g., Java, Python, Node.js) and architectural patterns (Microservices, API First, etc.);
Cloud and Infrastructure Knowledge: Familiarity with Docker and Kubernetes concepts to facilitate interaction with DevOps;
Engineering Culture: Experience with Agile methodologies (Scrum/Kanban) and version control tools (Git);
Integration Knowledge: Experience in system integration and consuming complex APIs.
Valued/Preferred Skills: Demonstrated experience with: NodeJS, Apache NIFI, GraphQL, OpenIdConnect, OpenTripPlanner, Pelias, Mapbox Vector Tile format, NGSI/LD, MQTT Over WebSockets, MongoDB;
Certifications: Certifications in Software Architecture, Information Security, or Technology Project Management;
AI and Automation: Experience integrating Artificial Intelligence tools into the development cycle or final product;
Data Management: Advanced knowledge in data modeling and optimization of relational and non-relational databases.

Software Engineer

Key skills