
Staff/Senior Engineer, Backend-Focused, Greenfield Agentic Project
Posted Jul 20

Posted Jul 20
This is a fully remote position, open to applicants in United Kingdom.
• Collaborate closely with engineering teams throughout Reap to develop and integrate agentic payment functionalities into their systems.
• Take ownership of agentic features from inception to completion across different teams: design the workflow, implement it in the appropriate environment, and manage it in a production setting.
• Develop backend services using Node.js / TypeScript (NestJS or Elysia) to create high-performance APIs and asynchronous tasks.
• Utilize AWS cloud-native services (Lambda, SQS, EventBridge, Aurora, S3, CloudWatch) to construct scalable and resilient architectures.
• Transform the agentic payments roadmap into implemented infrastructure.
• Engage directly with product teams, founders, and the engineers from the host team.
• Use AI tools and contemporary development methodologies to accelerate progress across various systems.
• 5-8+ years of professional experience in backend engineering.
• Proven ability to quickly adapt to unfamiliar codebases and deliver results efficiently.
• Extensive knowledge of Node.js and TypeScript, including RESTful API design and asynchronous job patterns.
• Strong sense of product development — capable of bringing a feature from concept to production without detailed specifications provided.
• Demonstrated hands-on experience with AWS cloud services (Lambda, SQS, Aurora, CloudWatch, Secrets Manager, etc.).
• Solid understanding of SQL and experience with relational database systems.
• Familiarity with event-driven and serverless architecture.
• Low ego and a high degree of adaptability.
• Excellent communication skills and the ability to work independently in a fully remote, asynchronous team environment.
• A high-impact role in a rapidly growing fintech startup.
• Flexible remote work environment with a global, collaborative team.
• Insurance coverage after the probationary period.
• Reap Card stipend.
• Access to AI tools at work — along with opportunities to learn, experiment, and grow with them.
• A culture that values innovation, inclusion, and continuous learning.
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