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AI Digital

Senior Backend Engineer

AI Digital
Remote Full-time
Backend-Engineering Senior-Backend-Engineering backend-architecture API-Development Software-Engineering Senior-Backend-Engineer Senior-Backend-Software-Engineer Senior-Backend-Developer
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Description

We are looking for a Senior Backend Engineer with a strong focus on backend architecture, data integrations, and production-ready application development.

In this role, you will play a key part in transforming AI-generated prototypes and business workflows into reliable, production-ready applications using our engineering stack. While this is primarily a backend role, you should be comfortable making basic changes to the React/TypeScript frontend when needed to support end-to-end product development.

Responsibilities:

  • Build and maintain backend applications using Java 21 and Spring Boot, making basic changes to the React/TypeScript frontend when needed.

  • Convert existing AI-generated and vibe-coded MVPs into reliable, production-ready applications.

  • Refactor prototype logic into clean backend services, typed APIs, database schemas, and maintainable end-to-end workflows.

  • Design PostgreSQL schemas and manage database migrations with Liquibase.

  • Integrate BigQuery as a read source and maintain adjusted/published data views with clear source-of-truth boundaries.

  • Follow OpenAPI-first development practices to build well-defined APIs and generate typed frontend API clients.

  • Implement backend observability using Spring Boot Actuator, Prometheus metrics, and structured logging.

  • Ensure applications are deployable, maintainable, and ready for engineering handoff.

  • Work with business stakeholders to preserve product intent while improving technical quality.

Requirements

  • 5+ years of backend development experience.

  • Strong proficiency in Java 21 and Spring Boot 3.x.

  • Strong experience with Maven.

  • Experience designing and building REST APIs using OpenAPI contract-first development.

  • Experience with Spring Security.

  • Strong experience with PostgreSQL schema design and Liquibase.

  • Experience with BigQuery or similar data warehouse technologies.

  • Experience with production readiness practices: observability, error handling, configuration, and deployment support.

  • Solid understanding of versioned data, source-of-truth boundaries, data freshness, cache rebuilds, and fallback behavior.

  • Experience with AI-assisted development tools (OpenAI, Claude, Cursor, Replit AI, or similar).

  • Experience evaluating and refactoring AI-generated or vibe-coded solutions into production-ready applications.

  • Familiarity with React and TypeScript, with the ability to make basic frontend changes when needed.

Nice to Have

  • Experience with multi-module Maven projects.

  • Experience integrating legacy systems without rewriting them.

  • Experience with Google APIs (Sheets, Drive, BigQuery).

  • Experience with n8n or other workflow automation tools.

  • Familiarity with Vite.

  • Familiarity with TanStack Query.

Originally posted on Himalayas