Senior Backend Engineer (Full-Stack)

About SellerMate AI

SellerMate is an AI-powered advertising and analytics platform for Amazon sellers and brands. We bring together data from across the Amazon ecosystem — Ads, Seller & Vendor Central, and DSP — and process it at scale to power automation, insights, and an AI agent that helps run our customers campaigns.

About the role

We're looking for a backend-heavy full-stack engineer to build and scale the data pipelines at the core of our product. You'll work on how we sync, process, and serve large volumes of Amazon data — including a major project to unify and improve our account sync system. You'll own features end to end, primarily on the backend, while being comfortable touching the frontend when needed.

Responsibilities

• Build and maintain backend services on AWS (Lambda, ECS, SQS, S3).
• Design reliable data pipelines that handle queues, retries, scheduling, and large data volumes.
• Integrate with Amazon APIs (Ads, SP-API), handling authentication, pagination, and rate limits.
• Work with MongoDB, including schema design, queries, and performance tuning.
• Build and maintain REST/GraphQL APIs in Python/Flask that power our app and AI features.
• Help improve our tooling, deployments, and overall system reliability.

Qualifications

• 4+ years of backend engineering experience.
• Strong Python skills.
• Hands-on experience with AWS (Lambda, SQS, S3, or similar).
• Experience with queue-based / asynchronous systems and data pipelines.
• Comfortable working with MongoDB or a similar database at scale.
• Solid REST API design with a Python framework (Flask, FastAPI, or Django).
• Able to work independently and ship to production.

Nice to have

• Experience with the Amazon Advertising API or SP-API.
• Familiarity with data lake / analytics tools (Athena, S3, Parquet).
• GraphQL experience.
• Frontend skills with React / TypeScript.
• Infrastructure as code (AWS SAM, CloudFormation, or Terraform).
• Background in e-commerce, adtech, or analytics.