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Senior Software Engineer, Decision Intelligence Platform
RemitlySenior Software Engineer developing the Decision Intelligence Platform at Remitly. Building backend services for experimentation, feature management, and decision intelligence workflows.
Posted 4/28/2026full-timeSeattle • Washington • 🇺🇸 United StatesSenior💰 $180,000 - $225,000 per yearWebsite
Tech Stack
Tools & technologiesCloudDistributed SystemsGoJavaKotlinPython
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- medical benefits
- other financial benefits
- total compensation components
ATS Keywords
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Hard Skills & Tools
GoJavaKotlinPythondistributed systemsmetrics platformsanalytics infrastructurecloud platformsdata pipelinesevent-driven systems
Soft Skills
cross-functional collaborationintuitive platform designscalability