Senior Backend Engineer — Python, FastAPI, Azure, Scale

Openkrill; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Meal allowance

Childcare assistance

Wellness programs

Job summary

CI&T is seeking a Senior Backend Engineer to evolve and scale backend services, APIs, and orchestration workflows in a cloud-based environment in the United States. You will contribute to modernizing services, migrating from Flask to FastAPI, and building a scalable, decoupled architecture on Azure.

You will own API specifications and improve reliability, performance, and observability of backend solutions.

Qualifications

• Strong experience in backend software engineering using Python.
• Hands-on experience with FastAPI and Flask, including API development and framework migration.
• Experience designing, documenting, and maintaining API specifications.
• Solid understanding of API architecture, service integration, and asynchronous processing.
• Experience with Azure and cloud-based application deployment.
• Knowledge of queue-based architectures, background workers, and distributed systems.
• Experience implementing automated testing, CI/CD pipelines, and observability for production services.
• Understanding of data persistence, API lifecycle management, and reliable service communication.
• Strong problem-solving skills and the ability to make sound technical decisions.
• Ability to work autonomously and collaborate effectively with cross-functional engineering teams.

Responsibilities

• Support the migration of backend services from Flask to FastAPI, improving maintainability, performance, and scalability.
• Own and maintain API specifications, ensuring consistency, clarity, and alignment across integrations.
• Evolve the multi-run orchestration flow, from API requests through multirun processing to Optim-core integration.
• Help transition orchestration workloads toward queue-based workers running on Azure Container Apps, reducing dependencies on Azure Machine Learning Studio (AMLS).
• Design and implement run lifecycle APIs, article swap endpoints, and results persistence mechanisms.
• Build and maintain reliable backend services using Python, FastAPI, and Flask.
• Implement and maintain CI/CD pipelines, automated testing, and observability practices.
• Identify and address technical challenges related to service reliability, integration, and distributed processing.
• Collaborate with engineering teams and stakeholders to deliver robust, maintainable backend solutions.

Skills

Python

FastAPI

Flask

APIs

Azure

Tools

Azure

Docker

Kubernetes

Job description

CI&T is seeking a Senior Backend Engineer to evolve and scale backend services, APIs, and orchestration workflows in a cloud-based environment in the United States. You will contribute to modernizing services, migrating from Flask to FastAPI, and building a scalable, decoupled architecture on Azure.

You will own API specifications and improve reliability, performance, and observability of backend solutions.