Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
API
Communication @ 3
Go @ 6
Java @ 6
JavaScript @ 6
Mathematics @ 6
Payments
Ruby @ 6
Scala @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Stripe builds programmable financial infrastructure, reliable APIs, payments products, and risk and fraud infrastructure used by businesses worldwide.
Responsibilities
- Work on projects across Stripe's technology stack that directly impact millions of businesses.
- Own problems end to end with support from managers and teammates.
- Participate as a full member of the engineering team, including team discussions, decisions, and technical design processes.
- Write production software with meaningful impact on Stripe's business and users.
- Give and receive technical feedback through code reviews and design discussions.
- Collaborate with engineers and cross-functional stakeholders to seek and incorporate feedback.
- Learn quickly by asking questions, communicating work status clearly, working effectively with managers and teammates, and using the latest AI tooling.
- Recent intern projects have included improving generalized anomaly detection with Stripe's Payments Foundation Model, building fraud controls, creating safer payouts, and developing user-facing solutions to prevent pricing mistakes and simplify merchant checkout setup.
Requirements
- Strong foundational understanding of computer science through pursuit of a bachelor's or master's degree in computer science, mathematics, or a related discipline.
- Programming experience through side projects or coursework. Stripe primarily uses Ruby, Java, JavaScript, Go, and Scala, but expects candidates to be able to learn new languages when they have strong fundamentals and general technical knowledge.
- Experience from previous internships or other multi-person projects, including open-source contributions, demonstrating the ability to evaluate and receive feedback from mentors, peers, and stakeholders.
- Ability to learn unfamiliar systems through independent research and work with mentors or subject-matter experts.
- Ability to use AI tools to accelerate development while applying critical thinking and professional judgment to review, refine, and validate outputs.
Preferred Qualifications
- At least one year of university education or equivalent work experience.
- Specialized knowledge in one or more areas such as frontend, backend, infrastructure, or other technologies, balanced with general technical skills and knowledge.
- Experience writing high-quality pull requests with good test coverage and completing projects with minimal defects.
- Familiarity with navigating and managing work in new codebases using multiple languages.
- Clear written communication skills and the ability to explain work to stakeholders, team members, and colleagues.
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