Role overview
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:
What you'll work on
- Leading a team of software engineers that builds systems and solutions to automate the liquidity workflows to optimize the liquidity demand and distribution to enable scale for all Ripple products.
- Setting the technical direction for your team, and also influencing the direction of the broader engineering organization. This includes identifying opportunities and critical issues spanning multiple teams, organizations, and use cases - and playing a key role in defining their technical solutions & processes
- Leading a team of junior and senior SWEs, organizing them into effective self-organizing teams with clear goals, projects, and APIs
- Contributing production grade code, executing code reviews, driving and influencing detailed technical designs & coding standards
- Prototype new solutions for complex software problems and implement them for production cloud deployments
- Defining the roadmap and plans for your team in addition to influencing planning and strategy of partners and the larger Organization
What we're looking for
-
Must have:
- 8+ years of industry experience as a Software Engineer/Technical Expert
- 2+ years managing Software Engineers
- Hands-on experience building distributed systems and micro-service architecture
- Proficient in Go/Java and Python
- Expertise in Kubernetes (or alike) and experience working with cloud infrastructure, particularly AWS
- Demonstrated experience working cross functionally with Product, Program and other engineering leads etc.
Good to have:
- Experience working with different types of large scale systems
- History of working on workflow orchestration systems (Temporal, Camunda, Conductor, Step Functions)
- Experience with Databricks for data pipelines