Lead Software Engineer - Data Analytics

Our promise: -> We support your career growth through continuous learning, coaching and mentorship programs.-> We promise you a feedback-driven culture that inspires healthy communication.-> A friendly, professional, and supportive team is waiting for his new teammate.-> A bunch of people with common hobbies and interests (sailing, football, running marathons, tennis, music, etc) is ready to welcome you.-> A community driven by courage and creativity (we have our own beer and our own band that sings about us) is challenging you to have serious fun with us.-> We designed benefits that give you the power to create balance in life, on and off work.🛠️ As Lead Software Engineer you will:-> Design, develop, and maintain high-performance, scalable, and reliable backend applications using Node.js and related frameworks.-> Build and consume RESTful APIs and other web services.-> Collaborate with the other engineers to understand and integrate AI/ML models into backend systems.-> Develop and implement APIs and data pipelines to serve AI model predictions and insights to various applications.-> Work with large datasets and understand data storage and retrieval mechanisms-> Participate in the full software development lifecycle, including requirements gathering, design, implementation, testing, deployment, and maintenance.-> Write clean, well-documented, and testable code.-> Contribute to architectural decisions and best practices for backend development and AI integration.-> Perform production deployments and troubleshoot any issues.-> Participate in code reviews and contribute to a positive and collaborative team environment.🎓What about you?-> Bachelor's degree in Computer Science, Software Engineering, or a related field.-> 5+ years of experience as a Software Engineer.-> Experience in deploying AI/ML models in a production environment.-> Experience working with Microsoft cloud services like Azure Data Factory, Synapse Analytics, Open AI, AI Vision.-> Experience developing with Node.js.-> Proactive and with the ability to take the lead when required.-> Strong analytical, problem-solving, and troubleshooting skills.-> Strong knowledge of software engineering concepts, methodologies, and best practices.-> Excellent communication, collaboration, and teamwork skills.🌟Preferred qualifications:-> Master's degree in Computer Science, Software Engineering, or a related field.-> Experience with Microsoft Azure.-> Experience with AI integrations.-> Experience in dealing with large volumes of data.-> Strong knowledge of data modeling techniques.Our process starts here. What should you expect?✨ A get-to-know-HR Discussion with your recruiter;✨ A final tale with your future colleagues, from the Data Analytics team.Our recruitment process is designed to foster diversity, equity, and inclusion. We are committed to creating a workplace where everyone feels valued, respected, and empowered to thrive.