R
AI

Senior Software Engineer Data

Ripple · Toronto, Canada · $106k - $165k

Actively hiring Posted about 2 years ago

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

  • Highly efficient in shipping solutions to both large and small projects. 
  • Often provides leadership on projects involving one or more engineers.
  • Can handle some ambiguity in requirements and can define and propose solutions for them.
  • Writes, presents, and gets agreement on the design document for a project highlighting the architecture, test plan and alternatives considered.
  • Owns the development and rollout for a large project.
  • Writes clean tech specs and identifies risks before starting major projects.
  • Recognizes trade-offs and identifies impact/risks between alternative solutions.
  • Improves code structure and architecture in service of testability and maintainability.
  • Plays an active role in breaking down initiatives that span multiple sprints and tasks.
  • Leads feature development with 1-2 collaborators.

What we're looking for

  • Proficient( 5 - 7 yrs) in at least one primary programming language (e.g. Java, Scala, Python) and comfortable working with SQL
  • Ability to write elegant code and comfortable with picking up new technologies independently.
  • Enjoy helping teams push the boundaries of analytical insights, creating new product features using data, and powering machine-learning models.
  • Have a strong background in developing distributed systems with experience in scalable data pipelines
  • Familiar with big data technologies like Spark or Flink and comfortable in engineering data pipelines using big data technologies on financial datasets
  • Experience with RESTful APIs and server-side APIs integration
  • Highly or conceptually familiar with AWS cloud resources (S3, Lambda, API Gateway, Kinesis, Athena, etc.,) 
  • Experience with CI/CD pipeline orchestration, leveraging Gitlab, Helm, and Terraform 
  • Experience with administration of Docker or Kubernetes infrastructure
  • Appreciate the importance of excellent documentation and data debugging skills.
  • Excel at taking vague requirements and crystallizing them into scalable data solutions 
  • Excited about operating independently, demonstrating excellence, and learning new technologies and framework

Tags & focus areas

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