Summary

In this role, As a Senior Software Engineer, you will be one of the core engineers within Ripple’s central Data Platform. This team implements the data infrastructure for analytics, machine learning and powering various business functions at Ripple.You are curious about the bottlenecks and failure modes of a system and look for opportunities to continually improve cost/performance characteristics. You are hands-on in driving key technical decisions, ensuring the right tradeoffs are made to deliver high -quality results and deliver high, measurable customer value. You work well across functions and teams, including data science, product, application engineering, compliance, finance and others. Your passion for good engineering is complemented by strong instincts to deliver value.

What you’ll do:

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

What you'll bring:

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

For positions that will be based in CA, 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 position. This range does not include equity or additional compensation, such as bonuses or commissions. 

CA Annual Base Salary Range

$160,000—$200,000 USD

Skills

• Analytical Thinking
• AWS
• Development
• Java
• Leadership
• Python
• Software Engineering