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Software Engineer II, Pricing Platform Team

Remitly, Inc.

Washington · Hybrid Full-time $180k – $225k/yr Today

About the role

About the role:

Our Pricing Platform team is responsible for building and operating the systems that decide what every Remitly customer pays, in real time, across our global corridor footprint. We bring pricing to life by serving rate decisions through high-throughput services that touch every transaction on web, mobile, and partner channels.

The team has a dual mandate: deliver pricing decisions that win on customer experience and business performance, while building the platform that lets our economists, data scientists, and pricing managers ship new models and improvements without going through engineering for every change. We tackle complex problems at the intersection of distributed systems, machine learning, and pricing economics, across a global footprint and a long tail of corridors most of the industry ignores. We're small enough that engineers move to where the leverage is - you won't be pigeonholed by a single layer of the stack.

Strong candidates may also have experience with:

  • Building Python services on AWS Lambda or Cloud Run with FastAPI and Pydantic - that's most of the platform
  • Real-time pricing, payments, or other financially sensitive systems where accuracy, auditability, and graceful fallback are first-class requirements
  • Productionizing ML for pricing, demand, or FX, along with the experimentation patterns that come with it (A/B tests, bandits, causal inference, shadow mode, kill switches)
  • RAG and LLM-based extraction over messy real-world inputs - partner contracts, emails, spreadsheets - turning unstructured documents into structured inputs
  • Large-scale data pipelines on BigQuery, plus large-scale data ingestion from public web sources
  • Working alongside agentic AI tooling - we expect engineers to amplify themselves with Claude Code and multi-agent workflows

You may be a good fit if you:

  • Have 3+ years of software engineering experience
  • Are results-oriented, with a bias towards flexibility and impact
  • Motivated to deepen your expertise in machine learning systems and infrastructure
  • Thrive in environments where technical excellence directly drives both business results and research breakthroughs

Representative projects across the org:

  • Contributing to the real-time pricing services that price every Remitly transaction across our global corridor footprint
  • Building analyst-facing surfaces for the people who set strategy and review pricing performance
  • Using LLMs to bring structure to unstructured inputs
  • Improving observability, latency, and reliability across the pricing stack
  • Partnering with Treasury, Risk, and Compliance on shared standards for financially sensitive systems

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 benefits

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. 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 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.

Skills

AWS LambdaBigQueryCloud RunFastAPILLMPydanticPythonRAG

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