Job description

Job Description: 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. About the Role: We are hiring a Senior Software Engineer to join Global Network Experience (GNX) in Money Platform — the team that owns the decision intelligence behind every dollar Remitly moves. Our platform determines not just how money moves, but what s possible, what s required of a customer, and what outcome they should expect. You will work on a platform operating at real scale: 5,000 corridors across 171 countries, 35,000 routes, tens of thousands of receiving institutions, and a catalog serving hundreds of millions of requests a day. The complexity is shape as much as size: a route is a combination of country, currency, payment method, institution, partner and product line — only some combinations are valid, and we keep adding dimensions. The central engineering challenge is platformizing that complexity — democratizing the data, building autonomy into network management, optimizing business value with continuous monitoring and intelligence, and making each new corridor, partner, payment method or product line faster to launch and better-performing than the last. GNX s platform surface spans from defining the data model of the network to the intelligence that operates it: Modeling the network — the authoritative account of what the network can do: every partner, institution, destination and route we support, and the libraries everything else is built on. Deciding how money moves — what we ask and verify before a send, the route it takes, the limits that apply, when it will land across 171 countries of partner schedules and holidays, and what happens when a partner fails. Every transaction, continuously, and increasingly by model rather than rule. Controlling it safely — the platform operators run the network from, and the agent interfaces that let AI do the same under real change control. We are looking for range: depth in one of these areas, enough fluency in the others to make good calls at the seams, and the communication to represent your area to everyone who depends on it. You will take technical ownership of an area, become the person the company trusts on it, and then do it again somewhere else. The domains are interdependent — a change in how the catalog models an institution lands on routing, validation and estimates within the same quarter — so the engineers who do well here are the ones who can hold more than one of them in their head. The direction is autonomy — a network that notices a partner degrading, reroutes around it and corrects its own delivery promises without a human in the loop. You will also work closely with network operations, program management, analytics, the ML team, Treasury, integration squads and business product teams — the platform has a broad internal customer base, and part of the job is representing your area to it. You Will: Gather and analyze requirements from product, program, business, network operations and partner engineering teams. Design, code, and test services, APIs, data models and configuration surfaces that hold up under high throughput and real money movement. Work across GNX s domains rather than a single service, taking technical ownership of an area and becoming its subject-matter expert — the person consulted on design, feasibility and correctness in that space. Ramp into unfamiliar parts of the platform quickly, and move between them as priorities shift. Migrate capability from legacy services onto the platform without interrupting production traffic, and retire what you replace. Turn work that engineers do today into configuration that operators and partner teams can do themselves. Partner with ML and analytics to put routing and estimate intelligence into production, and to instrument the signals those models learn from. Identify and fix issues or bugs; participate in an on-call rotation across a Tier-1 service estate, and work with the team to quickly resolve problems and maintain system stability. Work within change control and compliance constraints, including SOX- and PCI-scoped systems. Guide the team s technical strategy while leading and shipping features and systems. Incorporate AI-assisted development into project estimates, and evaluate AI-generated code for correctness, security and maintainability before it ships. Guide peers on responsible AI use, and use AI where it helps to prototype into unfamiliar problem areas. Promote engineering excellence by delivering well-tested, observable, documented, efficient, scalable, and resilient solutions, improving team processes, and contributing to cross-team technical designs. Report to the Engineering Manager for the team in Seattle, WA. You Have: A BS in Computer Science or equivalent professional experience 6 years of professional experience Breadth across system types — you have worked on more than one kind of problem, and can point to a time you became productive in an unfamiliar codebase or domain quickly Experience designing and operating large-scale distributed backend systems, including high-throughput, low-latency services Experience with data modeling and configuration-driven or rules-engine systems, where behavior is data rather than code Experience modeling domains where complexity is dimensional as much as volumetric — many interactingattributes, sparse valid combinations, and a schema that has to absorb a new dimension without every consumer rewriting Experience migrating or decommissioning production systems while they remain in use Experience evaluating AI-generated code for correctness, security, and maintainability, and coaching otherson responsible AI use Knowledge of backend programming languages such as Java or Golang Proven experience with software development practices, system design, software design patterns, andalgorithms Experience with AWS and containerized deployment (Kubernetes) Proficiency in CI/CD tools (Jenkins, GitLab, etc.) Nice to Have: Experience with analytics or data engineering, building the datasets and pipelines that downstream teams and ML systems depend on Experience in payments, money movement, or another domain with external partner integrations and correctness-critical workflows Experience productionizing ML models as part of a decisioning system Experience building internal tooling that non-engineers depend on, including frontend work Experience with time- and schedule-based logic across many jurisdictions Compensation Details. The starting base salary range for this position is typically $180,000-$$225,000. In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role. Our Benefits: Flexible paid time off Health, dental, and vision 401k plan with company matching Paid parental, medical, military and family care leave Mental Health & Family Forming Benefits Employee Stock Purchase Plan (ESPP) Continuing education Our Connected Work Culture: Driving Innovation, Together 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. Under the Company s current hybrid-work expectations, employees in this position work onsite Tuesday through Thursday each week. Additional onsite attendance may be required based on business needs, and the Company may modify its hybrid-work expectations from time to time. 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. #LI-Onsite Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Requirements

Must-haves

The central engineering challenge is platformizing that complexity — democratizing the data, building autonomy
into network management, optimizing business value with continuous monitoring and intelligence, and making each new corridor, partner, payment method or product line faster to launch and better-performing than the last.
GNX s platform surface spans from defining the data model of the network to the intelligence that operates it:
Modeling the network — the authoritative account of what the network can do: every partner, institution, destination and route we support, and the libraries everything else is built on.
Controlling it safely — the platform operators run the network from, and the agent interfaces that let AI do the same under real change control.
Gather and analyze requirements from product, program, business, network operations and partner engineering teams.
Design, code, and test services, APIs, data models and configuration surfaces that hold up under high throughput and real money movement.
Work across GNX s domains rather than a single service, taking technical ownership of an area and becoming its subject-matter expert — the person consulted on design, feasibility and correctness in that space.
Ramp into unfamiliar parts of the platform quickly, and move between them as priorities shift.
Migrate capability from legacy services onto the platform without interrupting production traffic, and retire what you replace.
Turn work that engineers do today into configuration that operators and partner teams can do themselves.
Partner with ML and analytics to put routing and estimate intelligence into production, and to instrument the signals those models learn from.
Identify and fix issues or bugs; participate in an on-call rotation across a Tier-1 service estate, and work with the team to quickly resolve problems and maintain system stability.
Work within change control and compliance constraints, including SOX- and PCI-scoped systems.
Guide the team s technical strategy while leading and shipping features and systems.
Incorporate AI-assisted development into project estimates, and evaluate AI-generated code for correctness, security and maintainability before it ships.
Guide peers on responsible AI use, and use AI where it helps to prototype into unfamiliar problem areas.
Promote engineering excellence by delivering well-tested, observable, documented, efficient, scalable, and resilient solutions, improving team processes, and contributing to cross-team technical designs.
Report to the Engineering Manager for the team in Seattle, WA.

Nice-to-haves

Experience with analytics or data engineering, building the datasets and pipelines that downstream teams and ML systems depend on
Experience in payments, money movement, or another domain with external partner integrations and correctness-critical workflows
Experience productionizing ML models as part of a decisioning system
Experience building internal tooling that non-engineers depend on, including frontend work
Experience with time- and schedule-based logic across many jurisdictions

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimljavagolangawskubernetesci/cd

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Paid Time Off