Stripe10 дней назад
Integration Reliability Engineer, Payments
Зарплата не указана
Canada
Обязанности
- 01Become a domain expert in an area of Stripe’s payments stack
- 02Find automated solutions and implement tool updates to drive operational efficiencies
- 03Engage with Stripe's financial partners to drive alignment on product usage, troubleshoot and solve technical problems or breakages
- 04Organize and direct complex technical changes and projects between Stripe and our partners
- 05Identify and automate inefficient or unnecessary manual processes through code changes, partner agreements, or making and coordinating more complex code changes across Stripe
- 06Design future anomaly detection systems and tools to ensure that data flowing through our partner and internal systems is reliable and correct
- 07Collaborate across the company, including engineering, accounting, financial partnerships and product, to trace and account for billions of dollars moving through the Stripe platform
- 08Handle inquiries from internal Stripes and external partners' technical teams, often requiring detailed investigation and sometimes code changes
Требования
- 015+ years of experience in a technical role (ex: Technical Operations, Software Engineer, etc.)
- 02Have experience managing communications and workflows with technical and non-technical teams across internal and external stakeholders
- 03Ability to write high quality code
- 04Comfort using SQL to navigate Stripe's data and diagnose the scope and urgency of issues
- 05Be able to build operational processing and tooling from scratch to prevent repeatable issues
- 06Comfort with developer tools (e.g. git), and an ability to make well-scoped code changes in Stripe's codebase
- 07Great technical problem-solving skills, with an ability to develop a working understanding of a technical system using a variety of methods. These include (but aren't limited to): reading/writing code, reading documentation or partner specifications, running debugging programs, reading logs, asking well-formed questions to domain experts, or digging into the raw data through various interfaces