Senior Software Engineer (Data)

Senior Software Engineer (Data) – Transform Cloud Data Cost Optimization

Join a dynamic, autonomous engineering team at a forward-thinking partner company based in Saudi Arabia, where innovation meets impact. This is your opportunity to architect and deliver cutting-edge solutions that empower organizations to intelligently manage, analyze, and optimize their cloud data expenditures. As a Senior Software Engineer (Data), you will drive the technical vision behind a product designed to revolutionize how businesses understand and control their data costs—bridging the gap between raw data and actionable insights.

In this role, you will collaborate with a lean, high-performing team of engineers and founding members to design and implement scalable backend systems, data pipelines, and visualization tools that enhance cost efficiency, anomaly detection, and performance forecasting. Your work will directly shape the product roadmap, ensuring that every feature delivers measurable value to customers while maintaining the highest standards of reliability, scalability, and user experience.

This is an ideal position for a self-driven, problem-solving engineer who thrives in a fast-paced, distributed environment. You will have the autonomy to own features from conception to deployment, balancing technical excellence with pragmatic execution to drive meaningful outcomes. Whether you’re optimizing data transformations, refining visualization dashboards, or enhancing backend resilience, your contributions will be instrumental in building a product that customers rely on daily.

Key Responsibilities:

• Design and develop end-to-end data cost management solutions, including forecasting models, anomaly detection algorithms, and cost allocation frameworks to provide customers with granular, actionable insights.
• Build and maintain scalable backend systems and data pipelines using modern technologies like Python, FastAPI, PostgreSQL, dbt, Dagster, and Snowflake, ensuring high performance and reliability under varying workloads.
• Develop data-driven visualization features that clearly communicate critical metrics—such as query efficiency, cost trends, and performance bottlenecks—to empower data-driven decision-making.
• Create and refine resilient UI components that enhance the product’s usability, ensuring a seamless experience for end-users while adhering to best practices in frontend-backend integration.
• Optimize application architecture to improve scalability, fault tolerance, and operational efficiency, leveraging system design principles to future-proof the product.
• Take full ownership of features, from requirements gathering and technical design to implementation, testing, and deployment, ensuring timely delivery with minimal friction.
• Evaluate technical and product trade-offs to prioritize high-impact solutions, aligning engineering decisions with customer needs and business objectives.
• Collaborate closely with cross-functional teams, including engineers, product managers, and stakeholders, to refine proposals, conduct code reviews, and maintain transparent communication in a distributed setting.
• Foster a culture of continuous improvement, advocating for clean code, comprehensive documentation, and rigorous testing to uphold engineering excellence.

This role is perfect for engineers who are passionate about solving complex challenges, embrace agility in a startup-like environment, and are eager to make a tangible difference in how businesses leverage their data infrastructure. If you’re ready to shape the future of cloud cost optimization and work alongside a talented team, we’d love to hear from you.