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Overview
Join Stripe as a Backend Engineer to develop financial infrastructure and enhance payment solutions for businesses. Work with diverse technologies and collaborate with cross-functional teams.
About Stripe
Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead.
Responsibilities
- •Work with a wide range of systems, processes and technologies to own and solve problems from end-to-end.
- •Collaborate with engineers, designers, data scientists, and product managers to develop new features and products.
- •Uphold our high engineering standards and bring consistency to the many codebases and processes you will encounter.
- •Build elegant APIs and user experiences that enable merchants to run and scale their businesses on top of the company.
- •Contribute to the design and architecture of the next generation of Stripe’s infrastructure, to meet the high growth needs of the company and customers for years to come.
- •Work alongside peer engineering teams, data scientists and strategy partners to design and implement critical systems that power financial decision-making while contributing to the growing team’s success.
Additional Benefits
- •Salary: $173,000.00 - $259,600.00/yr.
- •40 hrs/week.
- •50% Telecommuting permitted.
- •Equity, company bonus or sales commissions/bonuses;
- •401(k) plan;
- •Medical, dental, and vision benefits;
- •Wellness stipends.
Minimum Requirements
- •Must have a Bachelor's degree or foreign equivalent in Software Engineering, Computer Science, or a related field, plus six (6) years of experience in Software Development.
- •Must have six (6) years of experience with/in:
- •Working across the stack and navigating codebases with different languages, including 2 of the following: Java, Ruby, Scala, Python, or SQL;
- •Tools including: Spark, IDE, and AWS;
- •Developing user-facing experiences and writing queries for analyzing experiment results;
- •Distributed computing or large-scale distributed systems;
- •Cloud based services, including: gRPC, GraphQL, Docker, Kubernetes, or AWS.
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