Staff Software Engineer, Platform
RippleToronto, CanadaPosted 27 March 2026
Job Description
At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.
If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.
THE WORK:
At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.
If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.
As a Staff Software Engineer, Platform you will play a critical role helping to advance Ripple's production infrastructure and release pipelines. Infrastructure Engineers at Ripple are a hybrid of systems and software engineers who support the design and lifecycle of our hosted products. You will work closely with product engineers to support their infrastructure needs, ideally in a self-service environment.
WHAT YOU’LL DO:
Build and provide platform features for compute, authentication, service discovery and calls, observability and redundancy
Lead architectural approaches with the right tradeoffs between scale, cost and maintenance
Coach junior engineers about design, development, testing and deployment standard processes
Deploy and maintain Ripple’s multi-region, multi-provider service platforms (with an emphasis on security and resiliency)
Develop tools for automation, monitoring, and instrumentation to reduce operational friction and increase engineering efficiency
Create and automate new and existing platform and application lifecycle services, using data to converge on declared states with minimal human interaction
Propose scalable, maintainable and cost effective solutions
Participate in the leadership of DevOps and GitOps principles within the organization
WHAT YOU'LL BRING:
Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering or related technical field
Thinks about engineering perfection in tandem with the developer experience
8+ years of relevant work experience with solid development background with Go, Python, or Java; with a strong command of software engineering best practices and system design
Experience working with cloud providers like AWS
Proficiency in orchestration platforms (Kubernetes, Rancher) and containerization
technologies to deploy and manage high-availability distributed services
Experience building deployment pipelines using common CI/CD tools
Experience with Infrastructure-as-Code (e.g. Terraform, CloudFormation, etc.)
Experience architecting and scaling Observability platforms leveraging Prometheus and OpenTelemetry, focusing on building self-service instrumentation patterns that enable engineering teams to monitor SLOs/SLIs via distributed tracing and high-cardinality metrics
Strong standout colleague with a customer service orientation and ability to forge relationships at all levels of the company and across diverse cultures
Have excellent communication skills – written, verbal and interpersonal
For positions that will be based in Toronto, the annual salary range for this position is below. Actual salaries may vary based on numerous factors including, among other things, an individual applicant’s experience and qualifications for the po ... (truncated, view full listing at source)
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