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 working on the insights and data platform utilized by our lenders and developing new products on top of it. This is a hands-on role where you will write production code and be the go-to person for solving complex or ill-defined problems. You will also dedicate time to enhancing the skills of the engineers around you 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, tackling the ambiguous problems within the squad.
- Build new financial data products and contribute significantly to the production code.
- Ensure the production APIs within our clients' applications in KSA and the UAE remain fast and reliable, leading the 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 engineering standards for the squad.
What we're looking for
Must-have:
- 10+ years of backend engineering experience, with deep Java and Spring Boot proficiency, along with several years of designing and deploying microservices in production.
- Experience building and maintaining distributed, event-driven systems in production, using technologies like Kafka or similar.
- Background in data-intensive backend applications within large distributed systems.
- History of owning latency and availability targets in production environments and utilizing tools like Prometheus and Grafana to achieve them.
- Working knowledge of infrastructure components (Kubernetes, cloud, CI/CD) and security protocols.
- Familiarity with AI coding tools such as Claude Code for design, coding, testing, and review processes.
- Demonstrated capability in leading architecture across multiple services and influencing decisions without formal authority, while effectively communicating technical risks to engineers, leadership, and clients.
- Strong product judgment, with the ability to determine the right timing for shipping products versus addressing technical debt.
- Experience in the fintech sector.
Nice-to-have:
- Proficiency with ClickHouse or another analytical database at scale.
- Experience running Machine Learning in production (both feature and training pipelines, model serving, monitoring).
- Background in credit risk, underwriting, or lending products.
- Working knowledge of Python.
- Proficiency in Arabic.
Why Join us?
We’re building the financial infrastructure for MENA, not just as a slogan, but as a reality. Since 2019, we've become the first regulated Open Banking and Open Finance entity operating across the UAE and Saudi Arabia. We've processed billions of dollars, connecting millions of accounts and enabling companies like Binance, Careem, and Etisalat to develop previously impossible products in this region.
Our recent $67.5M Series B funding from General Catalyst and Sequoia is not only validation of our approach but also a catalyst for our expansion into new markets, launching innovative products, and establishing the pace for financial innovation in MENA.
We tackle challenging problems, move rapidly, and hold ourselves to high standards. We're in search of experienced professionals who can help us realize our vision of building something lasting rather than merely scalable.
In addition to competitive salaries, private healthcare, and flexible office hours, we ensure that every team member has a meaningful equity stake in the company to promote long-term alignment. We invite you to join us on this exciting journey!
Equal Opportunity Employer
The company is proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunities and welcome applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status.
