Senior Backend Engineer

Senior Backend Engineer (Python)

$40 - $120/hour

pay

Required Skills

Python

AWS

FastAPI

WebSockets

Kubernetes

Queues

About micro1

micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

Job Title

Senior Backend Engineer (Python)

Job Type

Contractor

Location

Remote

Job Summary

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Key Responsibilities

Design, develop, and optimize robust backend APIs using Python and FastAPI frameworks.

Implement scalable and efficient solutions leveraging AWS cloud services and Kubernetes orchestration.

Architect and deploy secure, high-performance real-time systems utilizing WebSockets and message queues.

Collaborate with other engineers and cross-functional stakeholders to deliver technical excellence and innovative solutions.

Review and refactor legacy codebases to improve maintainability, performance, and scalability.

Maintain detailed documentation, ensuring clarity for both internal and external teams.

Champion written and verbal communication, facilitating clear collaboration across the customer's team.

Required Skills and Qualifications

Expert-level proficiency in Python with a strong background in backend development.

In-depth experience with AWS services and cloud-based application deployment.

Hands-on expertise in building APIs with FastAPI and implementing real-time features using WebSockets.

Strong knowledge of Kubernetes for container orchestration and microservices management.

Solid understanding of message queues and event-driven architecture.

Exceptional written and verbal communication skills, with a passion for articulate collaboration.

Proven ability to work autonomously in a fast-paced, distributed environment.

Preferred Qualifications

Experience working in high-impact or AI-driven projects.

Background interfacing with multidisciplinary teams in remote settings.