29 Cloud Engineer jobs in Spain available for remote work from home. Apply for positions such as Cloud Engineer, Senior Cloud Engineer, Senior Cloud Infrastructure Engineer (cloud sandboxes) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The selected candidate will be responsible for designing, operating, and securing the distributed events platform and the service gateway. They will be in charge of maintaining the stability of real-time data flows and the connectivity of cloud applications.
You will design and operate the Azure landing zone using Infrastructure as Code while establishing enterprise-scale governance and security policies. Additionally, you will mentor team members and collaborate on technical architecture decisions to support the company's financial management platform.
Design, implement, and manage scalable, secure, and reliable cloud solutions while optimizing for cost and performance. Automate infrastructure using tools like Terraform and CloudFormation and manage containerized workloads.
The role involves managing, automating, and improving Microsoft Fabric and Power BI environments while ensuring platform security and scalability. You will design Azure cloud infrastructure using Infrastructure as Code and maintain CI/CD pipelines to support efficient data operations.
The Cloud Engineer will manage and optimize AWS cloud infrastructure, including networking and landing zones. They will also be responsible for container orchestration using EKS and implementing CI/CD pipelines for automated deployments.
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Develop and maintain ETL/ELT processes in cloud environments while designing and optimizing data models in Snowflake. Collaborate with business, BI, and architecture teams to transform analytical needs into scalable, high-quality data solutions.
Automate cost optimization processes and cloud governance within an enterprise environment managing thousands of accounts. Focus on utilizing AWS services to maintain financial efficiency and operational control.
Define end-to-end hybrid cloud solutions and create technical and economic proposals to convert business opportunities into contracts. Collaborate with sales and delivery teams to conduct workshops and defenses that align technology with client business goals.
Design, develop, and implement integration solutions between systems and platforms within Google Cloud Platform environments. Collaborate with development, operations, and security teams to ensure performance, scalability, and security standards are met.
As a Senior Platform Engineer, you will design and deploy scalable multi-cloud architectures while automating infrastructure processes. You will also translate business requirements into technical solutions and build robust delivery pipelines.
Design and maintain scalable, secure, and high-performance cloud infrastructure while managing AWS networking and CI/CD automation. Lead incident resolution, perform root cause analysis, and implement continuous improvements for infrastructure and DevOps processes.
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.
The role involves specializing in Contact Center Cloud platforms, specifically focusing on Genesys Cloud architecture and routing. You will be responsible for managing voice and digital channels, as well as handling production deployments and go-lives.
Cloud Systems Engineers are responsible for the deployment, maintenance, and support of large-scale cloud and edge-based solutions. They troubleshoot technical issues, interact with users to define system architecture, and contribute to open-source community projects.
Design, build, and maintain secure, scalable, and resilient cloud infrastructure solutions on Microsoft Azure. Collaborate with DevOps, Security, and Application teams to automate infrastructure and improve developer experience.
You will engineer and operate the AI runtime control plane and inline enforcement pipeline across multi-cloud environments. Additionally, you will lead deep investigations into AI-specific security incidents and implement closed-loop defensive systems based on red-team findings.
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Design, implement, and maintain scalable cloud infrastructures on Google Cloud Platform while managing GKE-based platforms. Develop Infrastructure as Code using Terraform and automate CI/CD pipelines to support AI, Machine Learning, and advanced analytics projects.
You will be responsible for designing, implementing, and maintaining infrastructure on Google Cloud Platform, including GKE, networking, and IAM. Additionally, you will manage automation through Terraform, CI/CD pipelines, and ensure system security, observability, and cost optimization.
Build and operate the AI runtime control plane and inline enforcement pipeline across multi-cloud environments. Lead deep investigations into AI-specific attacks and tune runtime policies to balance security with low-friction innovation.
Lead the architectural evolution and management of a multi-cloud environment across AWS and GCP to ensure reliability for a global real estate portfolio. Partner with development teams to foster a DevOps culture, optimize cloud costs, and manage security and observability stacks.
Lead the evolution of a global FinOps metrics platform on Google Cloud Platform. Transform a legacy system into a modern architecture based on OpenTelemetry.
Own and operate the multi-cloud infrastructure powering the Agentic RAG product using GitOps and Infrastructure as Code. Lead the scaling of global Kubernetes environments and maintain secure, zero-trust networking and identity models.
Design and evolve complex customer experience flows using Genesys Cloud Architect and build robust integrations via APIs and Data Actions. Collaborate with Product Owners and IT teams to optimize routing logic and ensure platform stability through advanced troubleshooting.
Design and implement scalable data pipelines and ETL/ELT processes using GCP services like Dataflow and BigQuery. Collaborate with clients to translate business needs into technical data solutions while optimizing performance and costs.
Design and implement scalable data pipelines and ETL/ELT processes using GCP services like Dataflow and BigQuery. Collaborate with clients to translate business needs into technical data solutions while optimizing performance and costs.
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Lead and mentor a team of cloud security engineers while driving the end-to-end planning and delivery of security research projects. Develop scalable security controls and conduct advanced threat modeling across major cloud ecosystems to identify and mitigate architectural vulnerabilities.
The Lead Engineer is responsible for providing technical direction to the SRE and Operations teams to improve infrastructure reliability, scalability, and performance. They will lead strategic initiatives, manage high-level incidents, and collaborate across departments to support the organization's cloud strategy.
You will be responsible for the operation and continuous improvement of critical cloud infrastructures, focusing on stability, scalability, and automation. The role involves working within an international team to evolve the platform using SRE, DevOps, and Infrastructure as Code best practices.
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