About the Role:
We are looking for a Senior Full Stack Engineer with a backend orientation who excels at solving complex challenges and is passionate about building robust and scalable systems. In this role, you will work closely with a talented team of developers, Product, Design, and Data Science to deliver innovative solutions that have a meaningful impact on users' lives.

As a senior engineer, you will focus on backend development while contributing to frontend implementation as needed. You will take full ownership of your projects, from concept to deployment, in a fast-paced and highly collaborative environment, while also mentoring team members and driving technical excellence.

Our Technology Stack:
Node.js, React Native, Redux, ReactJS, Scala, Play, Microservices, AWS, Docker, Kubernetes, MongoDB, Redis, PostgreSQL, Spark, Elasticsearch, Kafka, and more.

Responsibilities:

• Backend Development: Design, implement, and maintain backend systems that process and analyze large-scale data.
• Full Stack Contribution: Develop features end-to-end, integrating both frontend and backend functionality.
• Build scalable, efficient, and secure backend services using Node.js and other technologies.
• Collaborate with the Data Science team to integrate advanced algorithms into backend systems, driving data-driven products.
• Partner with Product Managers and Experience Designers to brainstorm, strategize, and execute features and improvements.
• Ensure architecture and systems are reliable, maintainable, and scalable for future growth.
• Lead by example, mentoring junior engineers and contributing to code reviews.
• Continuously evaluate and adopt cutting-edge technologies to improve system performance and engineering practices.

Qualifications:

• 5+ years of professional experience as a Full Stack Engineer, with a focus on backend development.
• Strong proficiency with Node.js—a must.
• Proven experience in designing, building, and maintaining complex systems at scale -  a must.
• Experience with ReactJS or React Native—an advantage.
• Solid understanding of algorithms, logic design, and system optimization.
• Expertise with relational and non-relational databases (e.g., PostgreSQL, MongoDB).
• Familiarity with cloud-based infrastructure (e.g., AWS, Docker, Kubernetes)—an advantage.
• Strong collaborative skills, a proactive mindset, and a passion for creating impactful, user-centric solutions.
• A degree in Computer Science or a related field, or equivalent practical experience.