Senior Backend Engineer

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.

• 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.

• 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.