Mission

As a Backend Engineer, you’ll be responsible for designing and implementing the backbone of MarvelX’s platform: from clean, well-structured APIs to high-performance search and data access layers. You’ll work with SQL and ElasticSearch at scale, build efficient backend services with FastAPI, and ensure our AI systems can access the right data at the right time with minimal latency.

What you'll be doing

• Design and build backend services and APIs using Python and FastAPI.

• Implement and optimize database models and queries using PostgreSQL and other relational systems.

• Work with ElasticSearch to enable fast, relevant search and analytics capabilities.

• Design efficient data access layers and caching strategies for performance at scale.

• Collaborate with frontend and AI engineers to design clean, intuitive API contracts.

• Write clear, testable code and ensure reliability through robust error handling and observability.

• Help shape internal tools and pipelines that support our data-driven products.

What you'll need

• 2–4 years of experience developing production-grade backend systems.

• Strong command of Python (FastAPI preferred; Flask/Django acceptable background).

• Excellent understanding of SQL (query optimization, schema design, transactions).

• Experience working with ElasticSearch: queries, mappings, and performance tuning.

• Proven ability to design and implement reliable, well-structured REST APIs.

• Familiarity with authentication, permissions, and structured data management.

• Strong debugging, testing, and performance optimization skills.

Bonus

• Experience with async Python, caching layers, or message queues.

• Knowledge of data engineering principles or ETL design.

• Familiarity with containerization (Docker) and deployment pipelines.

• Startup experience: comfortable building fast and shipping often.