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Ripple’s mission is to enable payments every way, everywhere for everyone. We believe connecting traditional financia...

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Ripple’s mission is to enable payments every way, everywhere for everyone. We believe connecting traditional financia...

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Ripple’s mission is to enable payments every way, everywhere for everyone. We believe connecting traditional financia...

Dev Sales Non Tech Senior

$401k* · Senior Fully remote

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Ripple’s mission is to enable payments every way, everywhere for everyone. We believe connecting traditional financia...

Dev Sales Non Tech Senior

$401k* · Senior Fully remote

Apply

Ripple’s mission is to enable payments every way, everywhere for everyone. We believe connecting traditional financia...

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$401k* · Senior Fully remote

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Ripple is the world’s only enterprise blockchain solution for global payments. Today the world sends more than $155 t...

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Ripple’s mission is to enable payments every way, everywhere for everyone. We believe connecting traditional financia...

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Senior Software Engineer Data MLOps Liquidity

Ripple ON Toronto, Ontario, Canada

Live

$401k · Senior Full-time Posted about 3 years ago 4 min read

This position can be based in New York City, Toronto, or Remote.

Ripple’s mission is to enable payments every way, everywhere for everyone. We believe connecting traditional financial entities like banks, payment providers and corporations with emerging blockchain technologies and users is the path to an open, decentralized, and more inclusive financial future. This Internet of Value gives any internet-enabled person, application or device access to financial services that are transparent, fast, reliable, and cheap. Delivering this vision is a challenge of massive scale spanning $155 trillion in annual cross border fiat payments and the $1.5 trillion market of digital assets that has grown 10X in the last year.

We are looking for a data-focused engineer to join a growing team charged with determining and delivering optimal liquidity for every customer in the world in a cost-effective, robust and scalable manner. You will work closely with applied scientists, backend engineers, and quant developers to build robust data solutions that power our liquidity services at scale. You will be a data engineering expert within an applied science organization, establishing best practices that level-up teammates with different areas of expertise. As a member of a new initiative, you must be passionate about inventing and delivering customer-focused solutions to ambitious and ambiguous challenges.

WHAT YOU’LL DO:

Be an entrepreneurial builder, working across a variety of cloud services mixing data engineering, software engineering, and knowledge of machine learning deployments to jumpstart this new initiative.
Develop foundational low-latency ETL pipelines to power real-time machine learning use cases and generalize them to enable their use program-wide
Provide technical leadership for the data architecture that powers high-throughput, low-latency (micro)services that drive optimized decision-making at scale.
Participate in the full software development lifecycle by realizing that data powers everything - from product requirements, to design decisions, and delivery on operational excellence.
Work with teams across the organization, including product, design, marketing, integrations, ops, customer success, legal and more.
Own your solution, from design to productionization, ensuring the best experience for Ripple’s customers in how they interact with your solutions.
Continuously raise our standard of engineering excellence by implementing and driving best practices for coding, testing, and deployment.

WHAT WE’RE LOOKING FOR

5-8 years of hands-on Data Platform experience on large scale distributed systems, preferably distributed database systems
Experience building and deploying data solutions into modern distributed computing environments such as Kubernetes and in cloud environments such as GCP, AWS, etc.
Experience leveraging data warehouse architecture to optimize the way customer-facing problems are solved
Experience in managing data pipelines from transactional systems (preferably in finance / banking / e-commerce domains) into scalable data stores and other cloud data services that manage large, structured event data sources such as tick data
Experience building data pipelines for machine learning systems a plus
Strong SQL knowledge, backed by expertise with data structures, along with best practices on data integrity and change management
Experience with Agile development of distributed services, with a focus on robust data system design, scalability and security
Eagerness to work openly and collaboratively with a diverse team
Ability to encourage and drive engineering best practices
A positive attitude and a passion for sharing knowledge
BS in Computer Science or similar

WHAT WE OFFER:

The chance to work in a fast-paced start-up environment with experienced industry leaders
A learning environment where you can dive deep into the latest technologies and make an impact
Competitive salary and equity
100% paid medical and dental and 95% paid vision insurance for employees starting on your first day
401k (with match), commuter benefits
Industry-leading parental leave policies
Generous wellness reimbursement and weekly onsite programs
Flexible vacation policy - work with your manager to take time off when you need it
Employee giving match

The chance to be one of Ripple’s founding Toronto team members

- Fully-stocked kitchen with organic snacks, beverages, and coffee drinks
- Weekly company meeting - ask me anything >
- Team outings to sports games, happy hours, game nights and more!

Ready to apply? You'll go straight to the hiring team.

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