Software Engineer II, Data & AI
$140k - $175k USD
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:
In this role, As a Software Engineer II, Data & AI you will be one of the core engineers within Ripple’s central Data Engineering. This team implements the data ingestion and transformation 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:
- Highly efficient in shipping solutions to both large and small projects.
- Can handle 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, timelines and alternatives considered.
- Owns the development and rollout for a small to mid-sized projects.
- 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 data pipelines 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.
- Collaborate to create AI agents and conversational tools that let business users get insights from data without needing technical skills.
What you'll bring:
- Proficient( 3 - 6yrs) in at least one primary programming language (e.g. Python, Scala) and comfortable working with SQL
- Experienced in at least one Data Warehouse or data lake platforms such as Databricks
- Ability to write sophisticated code and comfortable with picking up new technologies independently.
- Some hands-on experience using AI or machine learning in data-related projects, such as helping with data pipelines, data quality checks, or simple AI-powered tools.
- Exposure to tools that use large language models, such as coding assistants, chat-based data tools, search tools that answer questions from documents, or basic workflow automation with AI.
- Familiar with developing distributed systems with experience in scalable data pipelines
- 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 in orchestrating CI/CD pipelines using GitLab and Terraform.
- Excel at taking vague requirements and crystallizing them into scalable data solutions
- 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
$140,000—$174,999 USD
WHO WE ARE:
Do Your Best Work
- The opportunity to build 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. A professional development budget to support other modes of learning.
- Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team.
- In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in.
- Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team
- We come together for moments that matter which include team offsites, team bonding activities, happy hours and more!
Take Control of Your Finances
- Competitive salary, bonuses, and equity
- Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support
- Employee giving match
- Mobile phone stipend
Take Care of Yourself
- R&R days so you can rest and recharge
- Generous wellness reimbursement and weekly onsite & virtual programming
- Generous vacation policy - work with your manager to take time off when you need it
- Industry-leading parental leave policies. Family planning benefits.
- Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events
Benefits listed above are for full-time employees.
Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.