[Job-31257] Senior Engineer, 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 20d ago
The date the source published, not the day we noticed it (2026-08-25). Last seen at its source just now.
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 $95.9k–157.1k/yr
Middle 50% of 8 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
-
lever employer's own board first seen 19d ago · last seen just now
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.
You'll work within a stable team, working in the architecture and evolution of our solutions over time. The ideal candidate combines strong cloud experience (especially AWS), hands-on expertise in LLMs, AI agents, and Generative AI architectures, a security-first mindset, and the maturity to make architectural decisions independently while providing technical guidance to other team members.
Responsibilities
- You will own the architecture of distributed, cloud-native systems end-to-end, from infrastructure-as-code (AWS CDK) through to production operations.
- You will author Architecture Decision Records that establish standards outlasting any single project, and translate ambiguous business requirements into scoped, shippable technical plans, driving alignment across product and engineering stakeholders.
- Beyond your own delivery, you will raise the technical bar of the team through code reviews, design critiques, and mentorship, taking ownership of the growth of the engineers around you as seriously as the systems you build.
Requirements
- Proficiency in English at a C1 level or higher
- Strong experience years of non-internship professional software development experience
- Extensive programming experience with JavaScript/TypeScript
- Experience leading the design or architecture (design patterns, reliability, and scaling) of new and existing systems
- Years of experience developing cloud-native applications and platforms using Lambda, S3, DynamoDB, AWS Bedrock, SQS, SNS, and ECS, with the ability to make architectural decisions around cost, performance, and scalability
- Experience with or passion for generative AI
- Experience as a mentor, tech lead, or engineering team lead
- Experience leading the design, build, and deployment of complex, performant (reliable and scalable) software solutions in production
Nice to Have
- Experience across the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Bachelor's degree in computer science or equivalent
- Experience developing IaC using Terraform or AWS CDK
- Experience developing with AI tooling such as Claude Code or Cursor
- Experience building or integrating AI agents using orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar