[Job-00022] Senior Backend Engineer (Python), Brazil

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.

With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.

We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.

We are looking for a Senior Backend Engineer to help evolve and scale backend services, APIs, and orchestration workflows in a cloud-based environment.

In this role, you will contribute to the modernization of existing services, support the migration from Flask to FastAPI, and help build a more scalable, decoupled architecture using Azure. You will take ownership of API specifications and contribute to the reliability, performance, and observability of backend solutions.

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.

Requirements for this challenge

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.

Nice to Have

Experience with Azure Container Apps and containerized workloads.

Familiarity with Azure Machine Learning Studio (AMLS) and its integration with backend services.

Experience decoupling services and migrating from tightly coupled architectures to asynchronous, queue-based processing.

Knowledge of monitoring, logging, tracing, and production troubleshooting.

Experience with orchestration workflows involving multiple services or processing runs.

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