Senior Full-Stack Developer (Typescript / Aws / PostgreSQL / Amazon Sp-api)

Working hours : Flexible, with some overlap with US business hours preferred.
About eHigher :
Hi, we're eHigher. We help brands scale their online presence by building strong teams, structuring operations, and driving performance across marketplaces and D2C.
Role Overview :
We are looking for a Senior Full-Stack Developer to join us and work on AMZBrain , an AI-powered platform designed to help Amazon sellers optimize product listings and backend attributes at scale.
This role focuses on building and scaling backend systems, working with Amazon SP-API integrations, and contributing to the overall architecture of a product built for performance, automation, and large-scale data processing.
Responsibilities :
- Develop and maintain backend services for the AMZBrain platform
- Work with Amazon SP-API integrations to retrieve and process seller data
- Design and maintain scalable cloud infrastructure on AWS
- Build and maintain APIs and backend logic using TypeScript
- Design efficient data models and queries using PostgreSQL
- Collaborate with product and engineering teams to ship features quickly
- Improve performance, scalability, and reliability of the platform
- Contribute to system architecture and technical decision-making
Requirements :
- Strong software engineering fundamentals
- Advanced experience with TypeScript
- Experience building backend services and APIs
- Strong experience with PostgreSQL
- Experience working with AWS cloud infrastructure
- Ability to design scalable and maintainable systems
- Experience working in fast-paced, startup-style environments
- Fluent in English (business level)
Nice to Have :
- Experience integrating with Amazon Selling Partner API (SP-API)
- Experience working with AI or data processing pipelines
- Experience building SaaS platforms
- Understanding of Amazon seller ecosystems or e-commerce tools
Engagement Details :
- Full-time role
- Remote, Serbia-based
- Flexible working hours with partial overlap with US teams preferred
Selection Process :
- Self-introduction video (2-5 minutes) — may be required for certain roles
- Initial screening interview with the Talent Acquisition team
- Possible technical assessment or case study
- Interview(s) with engineering leadership
- Final decision and offer