[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.

• →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.

• 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.

• 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.