Cloud Engineer
The role involves designing, deploying, and managing cloud-based infrastructure. The engineer will work within a dynamic team to implement microservices architecture and DevOps methodologies.
16 Cloud Engineer jobs in Portugal available for remote work from home. Apply for positions such as Cloud Engineer, Cloud Engineer, AI & Cloud Engineer (AWS) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The role involves designing, deploying, and managing cloud-based infrastructure. The engineer will work within a dynamic team to implement microservices architecture and DevOps methodologies.
The Cloud Engineer will design, deploy, and manage scalable cloud infrastructure using Infrastructure-as-Code and container orchestration tools. They will also be responsible for monitoring system performance, ensuring security compliance, and automating operational tasks across multi-cloud environments.
Design and implement serverless, cloud-native architectures on AWS while building and deploying Generative AI and RAG solutions. Collaborate with technical and business stakeholders to translate requirements into robust, production-ready AI applications.
Design and develop scalable data models in SAP HANA Cloud using Calculation Views and SQLScript. Collaborate with finance and supply chain stakeholders to translate business requirements into technical data solutions.
Implement and deploy cloud solutions using Terraform with a primary focus on GCP, while maintaining governance across GCP, Azure, and AWS. Optimize existing infrastructures using FinOps and R's migration methodologies and integrate third-party tools via Identity Providers.
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You will build and operate the data platform for fleet telematics products, managing end-to-end workstreams from architecture to production deployment. Responsibilities include developing streaming and batch pipelines, ensuring data reliability, and implementing observability and cost-optimization strategies.
You will manage and scale Langfuse's cloud infrastructure on AWS and ClickHouse Cloud while ensuring high availability and performance. Additionally, you will maintain self-hosted deployment configurations like Helm charts and Docker Compose to support diverse customer environments.
You will be responsible for managing and optimizing the AWS CI/CD ecosystem and implementing infrastructure as code using AWS CDK. The role involves collaborating within a dynamic team to maintain cloud infrastructure and ensure efficient deployment pipelines.
The Sr. Cloud DevOps Engineer will build, automate, and operate secure, scalable multi-cloud platforms across Azure, GCP, and AWS. They will collaborate with cross-functional teams to deliver resilient infrastructure, implement automation, and support modern cloud services.
Define and drive cloud security principles and reference architectures while partnering with DevOps and Architects to embed security best practices. Implement security controls and posture management tooling to monitor and reduce risk across containerized workloads.
The role focuses on identifying and resolving the root causes of customer business processing issues within the cloud environment. It involves maintaining and monitoring MS Windows Servers and utilizing automation tools to improve system stability.
The role focuses on identifying and resolving the root causes of customer business processing issues within the cloud environment. It involves maintaining and monitoring MS Windows Servers and utilizing automation tools to improve system stability.
This role involves building and managing cloud security programs across AWS, Azure, and GCP, including continuous monitoring and resolving vulnerabilities and misconfigurations. Responsibilities also include developing automation for infrastructure monitoring, evolving secure cloud designs, and building processes for application code security reviews.
You will design, deploy, and maintain scalable AWS-native cloud architectures while managing infrastructure as code and serverless services. Additionally, you will collaborate with cross-functional teams to ensure AI and data solutions are secure, compliant, and production-ready.
Architect and build sophisticated AI agents using Gemini and CXAS, focusing on reasoning, grounding, and tool-use capabilities. Manage the migration of legacy conversational interfaces and implement RAG pipelines and CI/CD automation for scalable deployments.
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