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Senior Fullstack Software Engineer, Payments Optimization

Roblox
San Mateo, CA Full Time
POSTED ON 4/17/2025 CLOSED ON 4/21/2025

What are the responsibilities and job description for the Senior Fullstack Software Engineer, Payments Optimization position at Roblox?

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.

At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.

A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

As an Economy Payments Flow Optimization engineer, you will optimize Roblox's payments funnel. You will design and build product features, payment funnel optimizations, and data processing capabilities. You will build out and support mass parallel experiments, and collaborate with ML engineers and data scientists.

Roblox is a high-growth, unique product environment. Your work will expedite the company's rapid expansion. This high impact work and your innovation will ensure a frictionless checkout experience.

Our team's challenges are not just regular day-to-day technical challenges. As an Economy Payments Optimization engineer, you will be in a data-driven environment developing high-scale data solutions and helping launch mass experiments.

You Have:

  • 5 years of professional experience working with scalable, distributed systems
  • Strong experience in large-scale, data-driven architecture, API design, data modeling, and SQL / NoSQL data storage.
  • Experience with modern front-end development using technologies like React and TypeScript
  • Passion for delivering products end-to-end, from ideation through implementation and A/B testing, while being empathetic with cross-functional stakeholders.
  • Experience with data processing technologies such as Spark, Flink, Hive, Airflow, or Kafka is a plus, but not required
  • Strong ownership with proactive, candid communication, and an ability to handle high complexity
  • Bachelor's Degree or above in Computer Science or another quantitative field, or equivalent experience

You Will:

  • Launch experiments to improve user experience on our frontend and mobile surfaces.
  • Develop backend services and data processing to implement product logic, perform reporting and analytic calculations, and produce features for ML models.
  • Collaborate with our cross-functional team members including those in product, design, data science, and machine learning.

Roles that are based in our San Mateo, CA Headquarters are in-office Tuesday, Wednesday, and Thursday, with optional in-office on Monday and Friday (unless otherwise noted).

You'll Love:

  • Industry-leading compensation package
  • Excellent medical, dental, and vision coverage
  • A rewarding 401k program
  • Flexible vacation policy (varies by exemption status)
  • Roflex - Flexible and supportive work policy
  • Roblox Admin badge for your avatar
  • At Roblox HQ:
    • Free catered lunches five times a week and several fully stocked kitchens with unlimited snacks
    • Onsite fitness center and fitness program credit
    • Annual CalTrain Go Pass

Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations for all candidates during the interview process.

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