Cloud Engineer

• Serve as the primary technical authority for building the Private Cloud Platform
• Design and assume technical ownership of the end-to-end architecture of the Private Cloud Platform
• Define the platform’s Kubernetes, virtualization, and hyperconverged infrastructure architecture
• Architect Ceph-based distributed storage, including replication, resilience, and performance tuning
• Design high-availability and multi-site topologies, as well as Disaster Recovery strategies (RPO/RTO)
• Define security, identity management, multi-tenant isolation, and compliance standards for isolated environments
• Establish Infrastructure as Code (IaC) and observability standards
• Provide technical support to the engineering team by reviewing solutions and promoting best practices
• Evaluate technologies, vendors, and solutions within the cloud-native ecosystem
• Integrate infrastructure, virtualization, Kubernetes, distributed storage, networking, security, observability, and automation
• Make technical decisions and provide technical leadership in building a critical, large-scale environment

Cloud Architect

• Develop and integrate enterprise applications using Go (Golang), Python, and Microsoft Azure, with a focus on cloud-native architectures, microservices, and distributed systems
• Develop integrations with SAP ERP/S4HANA, APIs, messaging systems, and event-driven systems using Azure API Management, Service Bus, and Event Hubs
• Incorporate AI and LLM capabilities into applications, including agents, RAG, and tool/function calling, while also using AI-assisted development tools
• Integrate databases, APIs, and enterprise services, ensuring application security, observability, scalability, and reliability

Senior Software Engineer – Azure, SAP, AI

• Administer and support public cloud environments (AWS and/or Google Cloud Platform), ensuring availability, performance, and security
• Manage Kubernetes clusters (EKS, GKE, or similar), performing maintenance, upgrades, and environment optimization
• Provision and manage infrastructure using Infrastructure as Code tools such as Terraform, Ansible, and Argo CD
• Maintain and enhance CI/CD pipelines and GitOps practices to automate deployment processes
• Administer object storage services such as Amazon S3, Google Cloud Storage, or MinIO
• Monitor cloud environments using observability and APM tools, identifying bottlenecks and improvement opportunities
• Support FinOps initiatives by promoting cost optimization, rightsizing, and more effective use of cloud resources
• Automate operational routines using Bash, Python, or similar tools
• Collaborate with Development and Infrastructure teams to evolve the architecture and resolve critical incidents
• Support and enhance cloud environments used by Courts of Justice throughout Brazil

Cloud Infrastructure Analyst (Mid-Level)

• Design and maintain the critical infrastructure supporting the operation of AI agents on Oracle Cloud Infrastructure (OCI)
• Ensure 99.95% availability and stringent response-time requirements
• Provision OCI resources using Terraform, ensuring robust and auditable infrastructure as code
• Manage OKE clusters with GPU node pools for inference, ensuring performance and availability
• Configure autoscaling (HPA) based on AI agent latency and workload
• Ensure network security in private VCNs, including the configuration of NSGs and Service Gateways
• Manage secrets in OCI Vault, maintaining compliance and credential protection
• Proactively monitor the platform through OCI Observability (Monitoring, Logging, and APM)
• Support FinOps initiatives to control and optimize GPU and generative AI token costs

Senior SRE / Cloud Engineer, Platform Engineer

• Ensure the availability, reliability, performance, and security of production environments
• Continuously improve infrastructure, automation, observability, and deployment processes
• Prevent, respond to, and investigate incidents, including root-cause analysis and action plans
• Collaborate with Engineering teams to evolve application architecture, resilience, and operability
• Reduce manual work and toil through automation, Infrastructure as Code, and pipelines
• Support capacity planning, cost management, operational risk management, and continuity of cloud environments
• Identify recurring operational issues and turn them into automation and structural improvements
• Work autonomously in critical production environments, troubleshoot issues, lead incidents, and make technical decisions

Cloud Engineer – Senior

• Take ownership of problems and drive them through to resolution with minimal need for technical guidance.
• Leverage prior experience at Itaú and knowledge of its technical particularities, processes, infrastructure, access requirements, and repositories.
• Contribute quickly to complex, critical projects with tight deadlines.
• Receive problems or business rules, understand what needs to be built, and independently deliver technical solutions.
• Work within the Custody/TRM business context provided by the team.
• Turn ideas into creative solutions and pursue quality in day-to-day work.
• Address challenging and innovative technology scenarios.

Senior Data Engineer – AWS

• Organize, collect, and process large volumes of data using ETL tools.
• Translate the client’s business objectives into an information management and business intelligence strategy.
• Maintain data pipelines and ensure secure access to information.
• Create and expose metrics and dashboards based on the data collected, ensuring data quality and integrity.
• Contribute to data platform modernization initiatives, focusing on Lakehouse architecture, governance, quality, and preparing data for analytics and AI consumption.
• Develop dimensional models for use by business teams, dashboards, and reports.
• Manage the complete data lifecycle: ingestion, processing, storage, transformation, consumption, and governance.

• Lead Cloud, DevOps, Infrastructure, SRE, and Professional Services teams, fostering collaboration, innovation, and high performance
• Manage the delivery of migration, modernization, and digital transformation projects in cloud environments
• Define and evolve strategies for automation, Infrastructure as Code (IaC), CI/CD pipelines, and DevSecOps practices
• Ensure the availability, security, performance, scalability, and observability of technology environments
• Lead critical operations with a focus on operational excellence, business continuity, and customer experience
• Manage contracts, SLAs, KPIs, budgets, profitability, and the department’s financial indicators
• Lead operational governance and the management of incidents, problems, changes, and capacity
• Promote best practices in Cloud Computing, FinOps, SRE, Observability, and Information Security
• Participate in executive forums, governance meetings, and presentations for clients, partners, and senior leadership
• Develop talent by structuring development plans, succession plans, and career paths
• Identify opportunities for continuous improvement, operational efficiency, and service expansion
• Perform other duties related to the area

Senior Cloud Infrastructure and DevOps Manager

• Manage and operate tools for analyzing, monitoring, deploying, and orchestrating cloud environments
• Ensure application scalability, security, usability, and robustness
• Implement integrations requested by clients
• Implement system and environment updates and fixes
• Provide Level 2 technical support
• Develop tools to reduce error occurrences and improve the customer experience
• Develop software and solutions for integration with internal back-end systems
• Perform root cause analysis of production errors
• Investigate and resolve technical issues
• Develop scripts to automate processes and simplify environment visualization and monitoring
• Design procedures for diagnosing failures
• Develop system maintenance procedures
• Administer, monitor, and maintain cloud environments
• Support the deployment and operation of scalable applications in cloud environments

Cloud Computing Specialist – Mobile Applications

• Take ownership of issues and drive them through to resolution with minimal need for technical guidance.
• Receive a problem or business rule, understand what needs to be built, and deliver the solution.
• Work on complex, critical projects with tight deadlines.
• Apply technical autonomy to move forward once the business context has been provided.
• Contribute quickly within the Itaú environment, avoiding a learning curve for basic procedures.
• Work as part of a team and collaborate on assigned responsibilities.
• Turn ideas into creative solutions and pursue quality in day-to-day work.
• Handle challenging and innovative technology situations.

Cloud Engineer jobs in Brazil

Cloud Architect

Senior Software Engineer – Azure, SAP, AI

Cloud Infrastructure Analyst (Mid-Level)

Senior SRE / Cloud Engineer, Platform Engineer

Cloud Engineer – Senior

Senior Data Engineer – AWS

Senior Data Engineer – AWS

Senior Cloud Infrastructure and DevOps Manager

Cloud Computing Specialist – Mobile Applications

Senior Data Engineer, AWS