Investigate and resolve difficult integration issues by inspecting code, reproducing behavior, testing functionality, and coordinating across Stripe teams.
Lead hands-on-keyboard work where appropriate, including proof-of-concept implementations, code reviews, testing strategies, CI/CD guidance, and architecture recommendations.
Review existing integrations and recommend improvements to reliability, performance, maintainability, and readiness for growth.
Use AI-assisted engineering and delivery tools to reduce manual work and improve the speed and quality of implementation.
Partner with Product and Engineering to identify recurring user needs and opportunities to improve Stripe's products, APIs, and tools.
Create reusable technical assets, including code, reference architectures, migration methods, guides, dashboards, and data analysis.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
6+ years of experience in software engineering, integration engineering, solutions engineering, technical consulting, or a comparable customer-facing engineering role.
Ability to write code in languages such as Go, Java, Python, C#, C++, or similar, and quickly understand and debug unfamiliar code.
Strong generalist technical experience, including SQL and an understanding of APIs, data structures, distributed systems, and software architecture.
Experience designing or delivering integrations between complex systems and third-party APIs.
Understanding of API security, reliability, testing, and production-readiness practices.
Ability to move between architecture and implementation, using code, logs, and data to solve open-ended problems.
Ability to explain technical concepts clearly to engineers, business stakeholders, and senior leaders.
A user-first approach and confidence leading technical work across multiple teams in an ambiguous, fast-moving environment.
Preferred requirements
Experience with AI-native companies, developer infrastructure, cloud platforms, or other rapidly scaling technology companies.
Experience with payments or financial infrastructure.
Experience using AI coding assistants or LLM-based agents in engineering work.
Experience delivering migrations, multi-product implementations, or international launches.
Strong technical writing skills and a willingness to teach and mentor others.
