About the role
As a Staff Engineer on the Credit Scoring & Underwriting squad, you'll lead the technical architecture and execution across credit insights products. This involves both the insights and data platform our lenders currently build on, along with the new products being developed on top of it.
It’s a hands-on role where you'll write production code and provide solutions for complex problems. You will also dedicate time to helping your fellow engineers improve through code reviews and mentoring.
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What you'll own
- Own the architecture and technical roadmap of the insights and data platform; tackle challenging problems within the squad without clear answers.
- Build new financial data products and contribute significantly to the production codebase.
- Ensure that production APIs within our clients' application flows in KSA and the UAE are fast and reliable; lead the troubleshooting response when issues arise.
- Collaborate with Product, Data Science, and DevOps teams to plan and scale insights products for credit underwriting.
- Represent the company in technical sessions with lenders, partners, and regulators.
- Mentor engineers and establish the squad's engineering standards.
What we're looking for
Must-have:
- 10+ years of backend engineering experience, with deep knowledge of Java and Spring Boot, along with several years of working with microservices in production.
- Experience in building and operating distributed, event-driven systems in a production environment, utilizing technologies like Kafka or similar.
- Familiarity with data-intensive backend applications in large distributed systems.
- Ownership of latency and availability targets in production, with experience using tools like Prometheus and Grafana to meet those targets.
- Working knowledge of infrastructure including Kubernetes, cloud, CI/CD, and security practices.
- Daily use of AI coding tools such as Claude Code for design, coding, testing, and review.
- Experience leading architecture discussions across various services and the ability to communicate technical risks to engineers, leadership, and clients effectively.
- Good product judgment; understanding of when to ship products and when to address technical debt while acting quickly when necessary.
- Background in fintech.
Nice-to-have:
- Experience with ClickHouse or another analytical database at scale.
- Running ML in production, including feature and training pipelines, model serving, and monitoring.
- Knowledge of credit risk, underwriting, or lending products.
- Proficiency in Python.
- Proficiency in Arabic.
NB: We value diverse experiences and backgrounds. If you resonate with our team and mission but do not meet all the requirements, we still encourage you to apply!
Why Join us?
We’re building the financial infrastructure for MENA. This is not just a slogan, but our reality.
Since 2019, we’ve established ourselves as the first regulated Open Banking and Open Finance entity in the UAE and Saudi Arabia. We’ve managed billions of dollars in transactions and connect millions of accounts, empowering companies like Binance, Careem, and Etisalat to create unprecedented products in this region.
Our recent $67.5M Series B funding round from General Catalyst and Sequoia is a testament to our growth and ambition, providing us with the resources to expand into new markets, launch new products, and redefine financial innovation in MENA.
We tackle difficult challenges quickly and maintain high standards, seeking individuals who have effectively navigated similar paths. If you are driven to build something sustainable rather than just scalable, the company is the place for you.
We offer competitive salaries, private healthcare, and flexible working hours, and every team member holds a meaningful equity stake in the business, ensuring long-term alignment. Join us on this journey!
The company is proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
*During the application process, we will need to collect, use, and share personal data about you with team members for various purposes, which may involve transferring your data to different global office locations. For more information on how we use and store your personal data, please refer to our Privacy Notice.
