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.