With over 1,600 team members across 5 countries, we provide a full spectrum of software and digital services. Our teams are dedicated to driving sustainability, pushing the boundaries of technology, and building the next generation of world-class digital solutions that empower our clients and make a lasting impact. We are looking for a Full Stack Developer – Biometrics to join a technology project focused on the development, maintenance, and evolution of biometric solutions within the banking and financial services industry.
The idóneo candidate should have strong experience in Java/Spring Boot and Angular, database development with Oracle, CI/CD and containerized environments, as well as a solid understanding of software development methodologies and production processes.
Hybrid
• On-site: 3 days per week at the client's offices
• Availability: Flexibility for extended hours according to project demand
• C / C++
• Python
• AWS
• Software Security
• Kafka
Mandatory experience in the banking or financial services industry, with knowledge of enterprise software development processes and methodologies, including:
• Experience with production release and deployment management.
• Experience addressing security vulnerabilities and performing code reviews using tools such as SonarQube and/or Fortify.
• Experience with production incident management, including analysis, resolution, and follow-up.
• Ability to work under pressure and meet project deadlines.
• Adaptability to changing priorities and project demands.
• Ability to work effectively in a SCRUM/Agile environment.
Design, develop, and maintain Full Stack applications supporting biometric solutions.
• Develop backend services using Java and Spring Boot.
• Build and maintain frontend components using Angular.
• Develop and optimize Oracle SQL/
📌 Full Stack Developer (Ciudad de México)
🏢 Motivus
📍 Ciudad de México
Postulate a este anuncio
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.