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Ci&T
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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.
Take the solution to production and keep it running reliably and securely, at the speed AI demands, covering both the deployment of conventional applications (app stores, CDN, mobile release trains, feature flags and blue/green service rollouts) and that of AI systems. Designs and manages the deployment corridor and the CI/CD pipelines for agentic environments, provisioning infrastructure, defining the release cadence, security and compliance pipeline gates and rollback strategies for fast recovery. This is the technical evolution of DevOps and SRE into the world of models, what the market calls LLMOps: serving, managing the observability platform and the health metrics of the solution, AI FinOps with active management of the inference budget and intelligent model routing, perimeter security, infrastructure guardrails and management of package versioning, environment configurations and model endpoints in production. Closes the downstream by ensuring that what was built reaches the client stable, secure and economically viable, and feeds the delivery line back with operational signals for continuous optimization of delivery.
Cloud computing concepts
Applied Infrastructure as Code (Terraform)
Knowledge of Azure Container Apps
Scalability
Connectivity
Code review
Kubernetes (K8s) containers
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Ci&T

Ci&T

Ci&T