Rakuten Rewards

Sr. Software Engineer

Toronto, Canada · Senior

Sponsorship not specified$108k-$158kDetected 15 days ago

JavaScriptPythonJavaGoReactVue.jsNode.jsGitAWSGCPAzureCloud PlatformsCI/CDGitHub ActionsJenkinsDatadogKafkaCommunicationCollaborationAdaptability

About the role

Your role will involve debugging and improving existing systems, ensuring optimal performance, and integrating new features to enhance functionality.

Design and Own Systems: Design and evolve backend architecture end-to-end, including APIs, data models, and storage.
Collaborate: Work across engineering, product, and design to navigate ambiguous problems, shape technical direction, and align on priorities and tradeoffs.
Mentor: Act as a mentor to junior team members on best practices for AI-assisted workflows, code quality, and system design.
Validate System Behavior: Develop and implement testing, validation, and monitoring strategies to ensure correctness of AI-generated code. Proactively identify edge cases, failure modes, and inconsistencies.
Ensure Performance and Observability: Build services that are performant, testable, and resilient in production. Implement monitoring, logging, and feedback loops to drive continuous improvement.
Operate as a Systems-Oriented Engineer: Debug complex production issues and drive them to resolution in collaboration with the team.
Design and evolve backend architecture end-to-end, including APIs, data models, and storage.
Work across engineering, product, and design to navigate ambiguous problems, shape technical direction, and align on priorities and tradeoffs.
Act as a mentor to junior team members on best practices for AI-assisted workflows, code quality, and system design.
Develop and implement testing, validation, and monitoring strategies to ensure correctness of AI-generated code.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
The requirements listed below are representative of the knowledge, skill, and/or ability required.
Production-level application development experience using Java.
Production-level application development experience using Node.js.
Familiarity with service-oriented architecture concepts, principles, and patterns.
Hands-on experience with cloud platforms (e.g., AWS, GCP, or Azure) and familiarity with services like EC2, Lambda, API Gateway, Apache Kafka, and S3.
Experience with database technologies and a strong understanding of database schema design
Experience with event-driven architectures.
Basic troubleshooting experience with observability tools like Datadog or similar.
Experience using AI-assisted development tools (e.g., Claude, Copilot, Cursor) to generate, evaluate, and refine code.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Exposure to automated CI/CD pipelines (e.g., Jenkins, GitHub Actions).
Demonstrated ability to validate and debug complex systems, including AI-generated code.

Experience with additional programming languages such as Python or Go.
Familiarity with a Frontend JavaScript Framework, like React, Vue.js, or Angular.
Experience refactoring legacy systems to modern architectures.
Familiarity with spec-driven development, including the ability to clarify ambiguous requirements and define clear system behavior.
Strong product intuition and attention to user experience when designing solutions.
B.S. in Computer Science or related field, or equivalent experience required.
5-8 years relevant work experience required.
2+ years of production-level application development experience using Java/J2EE, ideally with frameworks like Quarkus or Spring.

At the time of posting, Rakuten expects the Compensation (base salary + discretionary bonus) for this role to be within the range shown below.

This listing is sourced directly from Rakuten Rewards's careers page and normalized into a canonical job model.