We’re seeking a Senior Engineer to shape the tooling and infrastructure that power the next generation of scalable AI / ML products at Remitly

In this role, you’ll collaborate with AI / ML, data science, and infrastructure teams to design systems that enable seamless AI / ML experimentation, training, deployment, serving, and evaluation

You’ll report to the ML Platform Engineering Manager and play a critical role in defining and building the foundation for Remitly’s future AI-driven products

Design and build backend services in Go on AWS to support high-scale AI / ML workloads

Develop and enhance core AI / ML platform offerings—including Feature Store, ML Orchestration, and Model Deployment & Serving—with a focus on performance, reliability, and usability

Partner closely with data scientists, ML engineers, and software engineers across multiple domains to deliver end-to-end solutions

Drive infrastructure optimization and automation, improving system scalability, reliability, and developer velocity

Collaborate with product managers and cross-functional teams to align engineering initiatives with product and business goals

Benefits

Spend up to $1,000 per year on costs related to continuing education or on travel to countries Remitly serves, allowing you to gain insights to our customer’s journeys





All of our office spaces offer our employees a place to collaborate and celebrate. With locally sourced artwork and vibrant designs, they create an environment that all can enjoy

Fill your cup up outside of work and take advantage of our generous paid time off policies, leave policies, and flex working hours to ensure you are able to meet the demands of life outside of work

Tap into the learning routines, resources and affinity groups Remitly provides to help you further your own DEI journey

Contribute to the communities we serve through volunteering, employee giving, or civic advocacy

Remitly provides rich benefit plans intended to cover the needs of our diverse teammates

8+ years of experience developing production applications, ideally in Go or JavaExperience deploying and maintaining containerized applications and supporting systems that utilize containerization2+ years of experience working on platform and / or infrastructure teamsExperience with up-to-date CI/CD tools and practices (e.g., GitHub Actions, Jenkins)Experience building and operating core ML infrastructure (e.g., model serving, ML orchestration, feature stores, research environments)Strong cross-team collaboration skills, with experience working directly with product and stakeholder partners

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📌 Software Development Engineer (ML Platform) (British Columbia)
🏢 Remitly
📍 British Columbia