About Mozn
Mozn is a rapidly growing and leading data science & product development firm based in Riyadh with a proven track record of excellence in supporting and growing the analytics ecosystem in Saudi Arabia. Mozn is a trusted analytics partner for the largest government organizations in Saudi Arabia, as well as many large corporations and startups. We are in a critical stage of scaling the company to build institutional analytics knowledge within Mozn and Saudi Arabia. It is an exciting time to work in Saudi Arabia; through Vision 2030, the rate of social and industrial change is staggering.
About the role
Mozn is seeking for a skilled and motivated Mid-Level Full Stack Developer with experience in Java(17)/Kotlin, React, and TypeScript. The ideal candidate will have a strong background in both front-end and back-end development, with at least 4 years of professional experience coding in these technologies. You will be working on a variety of projects, contributing to the development and maintenance of high-quality, scalable web applications, and collaborating closely with our cross-functional teams.
What you'll do
- Develop and maintain web applications using Java(17)/Kotlin, React, and TypeScript.
- Design and implement RESTful APIs , microservices and various independent components with a focus on scalability and performance.
- Collaborate with UX/UI designers to translate design concepts into functional, responsive web interfaces.
- Write clean, efficient, and maintainable code, adhering to best practices and coding standards.
- Participate in code reviews, providing constructive feedback to peers and ensuring the delivery of high-quality code.
- Troubleshoot, debug, and optimize existing applications to improve performance and user experience.
- Participate in Deployment and On-call rotas to maintain smooth production operations.
- Work closely with product managers and stakeholders to understand requirements and deliver solutions that meet business objectives.
- Continuously learn and stay updated on industry trends and technologies to ensure the use of modern, relevant tools in development.
Qualifications
- Experience: Minimum of 4 years of professional experience coding in Java/Kotlin, React, and TypeScript.
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent work experience.
- Technical Skills:
- Strong proficiency in either Java or Kotlin and experience with web frameworks such as FastAPI.
- Solid experience with front-end development using React and TypeScript.
- Familiarity with modern front-end build pipelines and tools (Webpack, Babel, etc.).
- Experience with version control systems, particularly Git.
- Understanding of RESTful API design and implementation.
- Experience with relational databases (e.g., PostgreSQL, MySQL) and ORMs.
- Knowledge of containerization technologies (e.g., Docker)
- Familiarity with cloud platforms (any AWS, Azure, GCP, OCI).
- Soft Skills:
- Strong problem-solving skills and the ability to work independently or as part of a team.
- Excellent communication skills, both written and verbal.
- Ability to manage time effectively and meet deadlines in a fast-paced environment.
- Enthusiasm for learning new technologies and a proactive approach to self-improvement.
- Should feel confident in suggesting new approaches and taking lead to implement them.
Benefits
Why Mozn?
- You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
- You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
- The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best.
- You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
- We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.