Software Engineer, Decision Intelligence Platform

At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we’ve tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it’s supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we’re not just here to move money- we’re here to move our global customers forward. We’re looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that’s you and you’re ready to do the most meaningful work of your career-we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders., We are looking for a Senior Software Engineer to help shape Remitly’s Decision Intelligence Platform: the core set of capabilities that power experimentation, feature flag management, metrics and semantic definitions, business review tooling, and trusted decision-making across the company. This role sits at the intersection of backend systems, data platforms, internal tools, and developer experience. You will build the foundations that allow teams to launch changes safely, measure impact accurately, standardize critical metrics, and operationalize decision-making through self-serve and reliable platform capabilities.

This is a high-leverage platform role with company-wide impact. You will partner closely with business, product managers, data scientists, analysts, and AI / ML practitioners to build scalable, reliable, and intuitive systems that accelerate innovation while raising the bar on correctness, usability, and operational excellence.

You Will:

• Design and build backend services that power experimentation, feature flag management, and decision intelligence workflows at scale.
• Develop core platform capabilities for metrics definitions, semantic layers, and trusted business review tooling.
• Partner closely with business, product managers, data scientists, analysts, and engineers to deliver end-to-end platform solutions.
• Improve platform reliability, observability, and usability, with a focus on self-service workflows and data quality.
• Help shape the long-term architecture for experimentation, measurement, and decision-support systems across Remitly., At Remitly, we believe that true innovation sparks when we come together. Our Connected Work Culture fosters dynamic in-person collaboration, where ideas ignite and challenging problems find solutions faster. For corporate team members, we have an in-office expectation of at least 50% of the time monthly, typically achieved by coming in three days a week. This creates a consistent, meaningful overlap that supports team norms and business needs. Managers also have the flexibility to set higher expectations based on their team’s specific needs. These intentional in-office moments are vital for deepening relationships, fueling creativity, and ensuring your impact is felt where it matters most.

Remitly is an E-Verify Employer

At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

• 5+ years of experience developing production applications, ideally in Go, Java, Kotlin, or Python.
• Hands-on experience designing, building, and operating distributed systems or internal platforms with high reliability needs.
• Experience with experimentation, feature management, metrics platforms, semantic layers, or analytics infrastructure.
• Familiarity with cloud platforms, data pipelines, event-driven systems, and modern storage and compute architectures.
• Cross-functional collaboration skills and the ability to build platform abstractions that are intuitive and scalable.