[Job-00022] Senior Backend Engineer (Python), Brazil
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 1d ago
The date the source published, not the day we noticed it (2026-10-09). Last seen at its source 1h ago.
We have tracked this listing since 9 Oct 2026 (1 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Brazil
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $93.8k–157.1k/yr
Middle 50% of 16 listings that do state pay — Engineering · Senior · Brazil · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Lever employer's own board first seen 1d ago · last seen 1h ago
The listing
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.