Senior Backend Engineer

🕒 January 22

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Code Metal

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 Seed Round on 2024-07

Artificial Intelligence • SaaS • Enterprise

Code Metal is an innovative company focused on automating edge development solutions. They offer a streamlined approach to code modernization and automated code translation, allowing for easy deployment across various platforms. With a strong emphasis on AI-powered development, Code Metal aims to transform complex coding tasks into efficient processes, making them a leader in edge technology and software performance.

📋 Description

• Design and build FastAPI-based services and APIs with a focus on performance, clarity, and maintainability. • Implement state machines and event-driven workflows that coordinate asynchronous operations across multiple services. • Work with PostgreSQL to design and query complex relational, geospatial, and temporal data models. • Build pub/sub and task processing patterns using Redis and modern async frameworks. • Integrate and extend authentication and authorization systems, enabling role-based and attribute-based access to data and endpoints. • Deploy and maintain containerized applications using Docker, ensuring reliability, observability, and security. • Write unit, integration, and performance tests that validate reliability and correctness. • Participate in code reviews and architecture discussions, contributing to design patterns, tooling, and continuous improvement. • Collaborate cross-functionally with other engineers and analysts to define APIs, data contracts, and workflow orchestration patterns.

🎯 Requirements

• 8+ years of professional backend software engineering experience, with a strong focus on Python. • Proven ability to design and deliver production-grade APIs and services using frameworks such as FastAPI or Flask. • Solid experience with PostgreSQL, including schema design, query optimization, and migrations. • Practical knowledge of geospatial and time-series querying, data modeling, and efficient indexing. • Experience building asynchronous systems using Redis (pub/sub, streams, or queues) or similar technologies. • Strong foundation in Docker-based development and deployment workflows. • Deep understanding of software engineering best practices, version control, testing, CI/CD, documentation, and type safety. • Demonstrated ability to take full ownership of a complex backend service from concept to production, with minimal oversight.