Mozn is a rapidly growing and leading data science & product development firm based in Riyadh, dedicated to enhancing the analytics ecosystem in Saudi Arabia. We work with major government organizations, large corporations, and startups, and are currently in a crucial phase of scaling the company to build institutional analytics knowledge. With the ongoing changes driven by Vision 2030, it is an exciting time to be part of our team.
We are seeking a highly skilled Software Engineer with over 4 years of extensive software development experience, particularly in Java (17) or Kotlin. The ideal candidate will have a solid understanding of database architecture and SQL, as well as significant experience in designing and implementing microservices. Collaboration with cross-functional teams to enhance software products is essential.
Responsibilities:
- Develop and maintain web applications using Java, Kotlin, or other programming languages.
- Write clean, efficient, and maintainable code, adhering to best practices and coding standards.
- Participate in code reviews and provide constructive feedback to ensure high-quality code delivery.
- Troubleshoot, debug, and optimize existing applications to improve performance and user experience.
- Participate in deployment and on-call rotations to maintain smooth production operations.
- Work closely with product managers and stakeholders to deliver solutions that meet business objectives.
- Stay updated on industry trends and technologies to ensure the usage of modern tools in development.
- Drive best practices in secure coding, automation, and Continuous Integration/Deployment (CI/CD).
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 4+ years of experience in software engineering.
- Strong programming skills in Java, Kotlin, or similar languages; openness to learn and code in any language.
- Expertise in real-time payment screening, transaction monitoring, and financial compliance.
- Experience with databases and data pipelines.
- Knowledge of machine learning techniques for fraud detection is a plus.
- Excellent problem-solving skills with a proactive and analytical mindset.
- Strong communication and leadership abilities to influence technical direction.
Preferred Qualifications:
- Experience with payment networks (SWIFT, SEPA, RTGS, etc.).
- Familiarity with regulatory frameworks such as PCI-DSS, GDPR, and PSD2.
- Background in financial services, fintech, or related industries.
- Expertise in AML/KYC systems, sanctions screening, and risk analytics.
Benefits:
- Opportunity to work on impactful projects with a trustworthy user base.
- Rapid iteration processes that empower responsible decision-making.
- Significant responsibility and autonomy in your role.
Take the next step in your career with Mozn, where innovation and excellence meet!
