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 :
We are looking for a Staff Software Engineer to optimize and scale our liquidity businesses. Candidates will partner with quantitative developers, applied scientists, and other software engineers to deliver new automation and systems that connect to machine learning and other optimizations that use market data to make better decisions.
Those solutions will influence how we run our business, meaning you will partner with collaborators across the company - including Payments Product and Engineering, Applied Scientists, Trading and Markets, and Finance - to help build them well.
In this role, you will also mentor other engineers to create a multiplier effect on your expertise in areas of system design, operational excellence, and iterative, continuous deployment.
Ideal candidates will have a track record of technical excellence in designing, building, and delivering reliable solutions as part of a team.
As a member of a growing initiative, you must be passionate about the role data can play in running customer-facing businesses.
You will architect and author code to production-grade services, improving engineering standards. You are relentless in your commitment to operational excellence, ensuring that decisions are made based on the highest quality data possible.
You can clearly identify feature requirements for solutions, even when problem statements are ambiguous and rapidly changing with our business.
WHAT YOU’LL DO :
- Be an ambitious builder, working up and down the stack, mixing software engineering, data engineering, and knowledge of machine learning deployments to deliver solutions that power a business
- Deliver reliable, high-throughput, low-latency (micro)services to power-optimized decision-making at scale.
- Provide leadership in the full software development lifecycle, from sculpting technical vision and software design to unit, integration, and end-to-end testing
- Work with teams across the organization, including partner engineering teams, product, markets, platform, and legal, among others
- Design and implement tools and processes to be an expert consumer of market data, specifically in real-time
- Be curious about how data can help solve problems, using your high standards for data quality and engineering operational excellence to ensure we treat data like we treat production code
- Be a technical domain expert, provide technical leadership, and share your expertise with a team of engineers
- Continuously raise our standard of engineering excellence by implementing and driving best practices for coding, testing, and deployment
WHAT YOU'LL BRING :
- 8+ years of hands-on Software Development experience on large-scale distributed systems, with the last 5-7+ years in a major programming language (Java Python, Go, or similar) and 2+ years experience working as a tech lead
- Experience building and deploying containerized applications (e.g. Docker) into modern distributed computing environments such as Kubernetes in production environments
- Experience with cloud data platforms (AWS, GCP, Databricks, or similar), with experience building transactional systems (preferably in finance / banking / e-commerce domains) to wrangle large, structured event data sources such as tick data
- Experience with real-time data is a huge plus
- Experience with Agile development of distributed services, with a focus on robust software 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 or equivalent experience in Computer Science or similar, MS / PhD a plus
WHO WE ARE : Do Your Best Work
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.
- 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.