Integration Engineer, Professional Services

at Stripe
USD 190,400-285,600 per year
SENIOR
✅ Remote ✅ On-site

Tech Stack

AI @ 3 API @ 7 Data Modeling @ 7 Distributed Systems @ 7 Go @ 8 Java @ 8 JavaScript @ 8 React @ 8 Ruby @ 8 TypeScript @ 8

Details

Stripe's Professional Services team works with strategic users to deliver scalable Stripe integrations and standalone applications. The Forward Deployed Engineering team builds and delivers software directly for users, collaborating with Stripe Product and Engineering teams to extend integrations beyond out-of-the-box capabilities.

Responsibilities

  • Design and architect robust, secure, scalable technical solutions aligned with customer needs.
  • Design, build, and deploy production applications combining user business logic, Stripe best practices, and user-facing interfaces.
  • Collaborate with internal and external stakeholders, bridging technical teams and executives.
  • Drive the direction of Stripe's Forward Deployed Engineering team and contribute to technical projects.
  • Engage directly with users to understand challenges and requirements and co-develop solutions.
  • Contribute tooling, frameworks, and best practices that scale impact across accounts.
  • Start new projects, take ownership of work, and help shape the direction of a new team.

Requirements

Minimum Requirements

  • 10+ years of professional, hands-on full-stack development experience with languages such as JavaScript, TypeScript, React, Ruby, Go, or Java.
  • Experience with backend infrastructure and building systems that scale.
  • Demonstrated ability to design, build, and deploy production applications.
  • Excellence in rapid prototyping while maintaining appropriate quality standards.
  • Familiarity with containerized applications and object-oriented programming languages.
  • Superb problem-solving skills and the ability to understand the product and business aspects of development.

Preferred Qualifications

  • Experience working as a software consultant.
  • Strong command of distributed systems, API design, and data modeling.
  • Familiarity with AI APIs and AI code-generation tools.
  • Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes.
  • Ability to handle ambiguity and learn new technologies, frameworks, and tools while working in varied client environments.

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