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.
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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!
