Cloud Engineer

• We are looking for a Data Engineer to build and integrate data pipelines in Azure and AWS environments, ensuring data ingestion, processing, availability, and support for AI-driven automations.
• The professional will be responsible for integrating APIs, ETLs, and existing databases, as well as implementing scalable architectures focused on analytics and decision support.
• The project is part of a long-term program focused on modernization, innovation, Data, AI, Productivity, Optimization, and Process Automation.
• Main Responsibilities:
• Design and develop data ingestion pipelines from diverse sources (ETLs, APIs, relational and non-relational databases, files, telemetry sensors, etc.);
• Integrate and consolidate data from multiple sources across Azure and AWS ecosystems, ensuring quality, consistency, and reliability;
• Implement reference architectures for data processing and storage;
• Create and manage Data Lakes, Data Warehouses, and Data Marts;
• Develop and optimize ETL/ELT processes using tools such as Azure Data Factory, Databricks, Synapse Analytics, AWS Glue, AWS Lambda, and Redshift;
• Ensure governance, security, and scalability of data pipelines;
• Monitor and optimize data load performance, identify bottlenecks, and propose continuous improvements;
• Work in direct collaboration with data scientists, functional analysts, and business stakeholders.

Senior Data Engineer – AI Automations, Azure, AWS

• Develop, maintain and optimize scalable data pipelines
• Work with distributed processing using Apache Spark
• Orchestrate workflows and data routines with Apache Airflow
• Develop solutions in Python following engineering best practices
• Operate in cloud environments, especially Microsoft Azure
• Create and maintain deployment pipelines using CI/CD practices
• Work with configuration and automation files in YAML/YML
• Use Docker for containerization of applications and services
• Develop, test and document data transformation models with dbt
• Collaborate with engineering, analytics and business teams to ensure solution quality, reliability and performance
• Support technical decisions related to architecture, performance, observability and data governance

Senior Data Engineer – Azure Cloud

• Automate provisioning and operational processes using reusable cloud services
• Develop and maintain Infrastructure as Code (IaC) solutions primarily on AWS
• Support automated deployment pipelines and platform enhancements
• Monitor and maintain the performance and reliability of cloud services
• Develop automation to improve operational efficiency and reduce recurring issues
• Support cloud infrastructure services, including compute, storage, backup, and operating systems
• Perform day-to-day BAU (business-as-usual) activities for the Cloud Platform Engineering team
• Create, maintain, and support platform engineering services and solutions
• Execute, monitor, and troubleshoot AWS Service Catalog automations
• Collaborate with senior engineers to resolve incidents and improve platform reliability

Cloud Engineer – Mid-level

• Develop and optimize Stored Procedures in SQL.
• Participate in migrating SAS processes to Azure Synapse.
• Interpret business rules embedded in SAS code.
• Validate data consistency and equivalence between legacy and modern environments.
• Perform data quality analyses, reconciliation, and identify inconsistencies.
• Collaborate with technical and business teams throughout the modernization process.
• Contribute to performance improvements and optimization of implemented solutions.

SQL Data Engineer – Azure Synapse – Data Platform Modernization

• Develop new platform integrations with data consumption engines, focusing on Databricks, Glue ETL, and AWS Lambda;
• Evolve proprietary APIs and event-driven workflows that support the platform;
• Implement and automate provisioning of resources and permissions in a multi-account AWS environment;
• Enhance the data virtualization and sharing mechanism between producers and consumers, based on data contracts;
• Ensure observability, governance, and security of the platform;
• Support producer and consumer teams in using the solution;
• Participate in architecture decisions, technical documentation, and team mentoring.

Senior AWS Data Engineer

• Propose and implement best practices related to cloud architecture, security, governance, scalability, and reliability.
• Write and maintain Terraform configurations to manage GCP infrastructure as code.
• Design and maintain infrastructure, network, topology, and service diagrams across Development, QA, and Production environments.
• Support and optimize CI/CD lifecycle processes and deployment workflows.
• Collaborate with technical teams to guide cloud implementation strategies and operational excellence initiatives.
• Take ownership of assigned cloud environments, ensuring stability, security, and performance.
• Provide technical guidance and support to engineering teams regarding cloud infrastructure and DevOps practices.
• Contribute to continuous improvement initiatives focused on automation, scalability, and operational efficiency.

Cloud Architect, GCP

• Maintain scalable and reliable data pipelines using modern distributed processing technologies to ensure the ingestion, transformation, and delivery of high-quality, high-performance data;
• Work on migrating workflows and code developed in Alteryx to the AWS platform, using AWS Glue;
• Responsible for restructuring data pipelines, adapting existing logic for a cloud-native environment, and ensuring the performance, scalability, and governance of implemented solutions;
• Carry out the migration of Alteryx flows to the Data Mesh data ecosystem;
• Analyze, rewrite, and restructure existing programs to align them with the development standards defined for the Mesh, as well as orchestrate and integrate with the Mesh's data domains;

Data Engineer – Alteryx, AWS

• Take ownership of customer issues, including: initial troubleshooting, identification of root cause, issue resolution or escalation, and identifying and escalating priority issues that need immediate attention.
• Must meet or exceed customer expectations on response quality, timeliness of responses and overall customer experience.
• Serve as an internal and external point of contact on customer escalations and ensure customer issues are being resolved as expediently as possible.
• Collect information and document bugs with Sr. TSE and/or Engineering for product issues that are impacting customers.
• Create the process or troubleshooting documentation in the Support knowledge base.
• Push creative thinking beyond the boundaries of existing industry standard practices to come up with process improvements and new ways to delight customers.

Technical Support Engineer – Cloud

• Design and implement scalable cloud infrastructure solutions on AWS
• Automate infrastructure provisioning and management using Terraform
• Manage and orchestrate containerized applications using Kubernetes and Amazon EKS
• Develop and maintain CI/CD pipelines to enhance deployment processes
• Monitor and optimize cloud infrastructure for performance and cost-efficiency
• Collaborate with cross-functional teams to ensure alignment on cloud strategies
• Implement security best practices for cloud environments
• Troubleshoot and resolve issues in production environments
• Document architecture, processes, and configurations for future reference and compliance

Senior Cloud Developer

• Work on enterprise-scale platforms alongside a collaborative, self-organized team
• Join an enterprise-scale product team for complex, event-driven backend systems
• Engage in architecture discussions and technical decisions
• Utilize a modern tech stack including .NET 8, AWS SNS/SQS, and Kafka.

Medior/Senior .NET Software Engineer – .NET 8, Kafka, AWS

• Take ownership of cloud infrastructure.
• Contribute to architectural decisions.
• Collaborate with multidisciplinary teams to design secure, scalable, and resilient cloud platforms.
• Mentor engineers, improve operational excellence, and promote DevOps best practices across the software delivery lifecycle.
• Work on modern cloud-native platforms hosted on Amazon Web Services (AWS).
• Support the full infrastructure lifecycle using Infrastructure as Code and CI/CD automation.
• Emphasize reliability, observability, security, and scalability in the environment.
• Collaborate with engineering teams, technical leadership, and business stakeholders in an international environment.
• Be adaptable to occasional national and international travel (estimated up to 15%).

Mid/Senior Cloud Engineer – AWS, Terraform, Kubernetes

• A cloud observability engineer’s day is about making complex systems understandable, improving signal quality, and enabling faster, smarter debugging across teams.
• Check system health, review alerts/incidents.
• Triage alerts
• Investigate issues
• Improve observability instrumentation
• Build and improve dashboards
• Alert optimization
• Work with development teams and other engineering partners.
• Continuous improvements.
• Release support.
• Design and implement observability frameworks using metrics, logs, and distributed tracing
• Develop dashboards, alerts, and visualizations to monitor system health
• Standardize observability practices across engineering teams (logging, telemetry, tracing)
• Implement and manage native monitoring tools.
• Build alerting systems (avoid alert fatigue)
• Participate in on-call rotations
• Build intelligent alerting using Improve System Reliability/ proactively reduce risk
• Identify reliability risks to help harden systems against failure
• Reduction in alert noise / false positives
• Increased observability coverage (% of services instrumented)
• Improved SLO compliance
• Embed observability into applications
• Add tracing/metrics into code
• Standardize logging formats
• Ensure all services are observable end-to-end

Mid Cloud Observability Engineer

• Interns will receive training and preparation to obtain technical certifications, such as AWS certifications at the Practitioner, Associate and Professional levels, AWS AI Practitioner, among others.
• They will work alongside the technical team to support requests related to the solutions offered.
• They will assist in planning and executing tasks within the Services area and in promoting solutions for public cloud platforms.
• They will write articles and blog posts related to their area of work and learning.

Cloud Computing Intern

• Build and maintain data ingestion, transformation, and curation pipelines;
• Develop ELT/ETL pipelines using PySpark and SQL across Medallion layers;
• Implement data quality rules, monitoring, and remediation standards;
• Perform data profiling and source inventory for assessment and governance;
• Catalog datasets and apply data handling policies compliant with the LGPD (Brazilian Data Protection Law) using Unity Catalog;
• Work on API integration, multiple data sources, and orchestration processes.

Data Engineer – AWS, Databricks

• Take ownership of cloud infrastructure
• Contribute to architectural decisions
• Collaborate with multidisciplinary teams to design cloud platforms
• Mentor engineers and improve operational excellence
• Drive DevOps best practices throughout software delivery lifecycle

Senior Cloud Engineer – AWS, Terraform, Kubernetes

• Join a globally recognized software engineering company that builds high-performance, resilient, and scalable products for clients across multiple industries and continents.
• Work on complex, event-driven backend systems with a modern tech stack that includes .NET 8, AWS SNS/SQS, Kafka, Redis/Valkey, Terraform, and Kubernetes.
• Collaborate daily in English with international clients and peers.
• Have the autonomy to shape architecture and mentor fellow engineers.

Senior .NET Software Engineer – .NET 8, Kafka, AWS

• Architect and develop modern back-end systems following 12-factor and cloud best practices, with a focus on reliability and quality;
• Monitor and troubleshoot production errors;
• Work as an engineer within agile, multidisciplinary squads;
• Develop secure applications and perform code reviews;
• Build unit, integration, functional, mutation, and automated tests;
• Work with Git and be familiar with Git Flow;
• Develop using MVC and MVVM software architectures;
• Use continuous integration and continuous deployment (CI/CD) workflows;
• Write reusable components, work with analytics tools, and develop RESTful APIs.

Senior / Mid-Level AWS & Java Developer

• Develop SPA applications in Angular and/or React, primarily for the web platform, but occasionally also for webviews (Android or iOS)
• The applications are for transactional journeys related to investment products and must provide an efficient, high-performance experience for clients, including visually impaired users who require accessible screens compatible with screen readers

Senior AWS & Angular Developer

• You will work on the evolution and modernization of Itaú's Financial Messaging platform, responsible for communication with clearing houses and participants in the financial ecosystem.
• This is a highly critical context, with large transactional volume and strict high-availability requirements, where quality engineering makes all the difference.
• It is an opportunity to work close to the business, contributing solutions that directly impact the bank's financial operations.
• Participate in technical refinements and solution design
• Develop backend applications using Go
• Implement and evolve REST APIs
• Build distributed, event-driven architectures
• Work with messaging technologies (Kafka, SQS, SNS, EventBridge)
• Develop cloud solutions using AWS
• Write tests and ensure quality
• Provide production support and incident resolution
• Map and understand critical business flows
• Contribute to the modernization of legacy systems
• Use AI to support development, testing and documentation

Senior Software Engineer – Go, AWS, Distributed Architecture

• Design, implement, and evolve cloud-native platforms aimed at accelerating software delivery at scale;
• Develop and maintain an Internal Developer Platform (IDP), enabling secure and efficient self-service for development teams;
• Create and evolve Golden Paths for standardized provisioning of applications, infrastructure, environments, and pipelines;
• Administer and scale multi-cluster Kubernetes environments across multiple cloud providers, ensuring availability, security, and performance;
• Implement and maintain GitOps practices using tools such as ArgoCD, Argo Rollouts, and Kargo;
• Automate infrastructure through Infrastructure as Code (IaC) using Terraform, Terragrunt, and Crossplane;
• Develop and maintain reusable CI/CD templates, promoting standardization and governance of continuous delivery processes;
• Implement and manage API Management and Service Mesh solutions for distributed environments and modern architectures;
• Integrate authentication, authorization, and identity management mechanisms using modern IAM standards;
• Define and disseminate security, governance, compliance standards, and best practices for cloud environments;
• Build and evolve observability, monitoring, traceability, and troubleshooting solutions for platforms;
• Participate in FinOps initiatives, monitoring and proposing cost optimizations in multi-cloud environments;
• Lead modernization efforts for legacy applications toward cloud-native and microservices architectures;
• Support development teams in adopting Platform Engineering, DevSecOps, and Developer Experience (DevEx) practices;
• Serve as a technical reference for platform architecture, promoting continuous improvement, knowledge sharing, and the definition of corporate standards.

Cloud Engineer jobs in Brazil

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