The candidate will be responsible for the administration, maintenance, and support of Linux/Unix systems to ensure high availability and performance. They will also manage incident resolution, process automation, and system updates while maintaining technical documentation.
Design, develop, and maintain ETL/ELT processes, data models, and optimized data pipelines on Google Cloud Platform. Integrate data from multiple sources, apply data quality, performance, and governance practices, and collaborate with technical and business teams to deliver scalable solutions.
The analyst will monitor and investigate security events using SIEM platforms and perform threat hunting to identify anomalies. They will also create correlation rules, analyze security incidents, and coordinate remediation efforts based on Pentera testing results.
Monitor security alerts and events around the clock, classify and triage incidents, document evidence and actions, and carry out approved containment steps using operational playbooks. Escalate cases to Level 2 or specialist teams with relevant technical context, support shift handovers, and contribute to continuous service improvement.
The DevOps Engineer will manage the migration of microservices-based applications to cloud environments and support infrastructure and development teams. They will also handle deployment automation, continuous integration, and incident resolution to ensure operational continuity.
The Senior SQL Server Administrator will manage, maintain, and support critical Microsoft SQL Server platforms, including installation, configuration, and performance optimization. They will also participate in migration projects, automation tasks, and ensure high availability for managed services.
Design and develop scalable data pipelines within cloud environments using Snowflake as the central ecosystem. Collaborate with multidisciplinary teams to execute end-to-end advanced analytics projects and integrate data using modern ELT/ETL tools.
Lead observability projects from architectural definition to implementation within complex enterprise environments. Design and deploy metrics, logs, traces, and alerting strategies while acting as a technical reference for clients.
The Automation Architect will lead the strategy, design, and evolution of automation platforms for clients, defining reference architectures and development standards. They will drive the adoption of Infrastructure as Code, CI/CD, and operational automation while providing technical leadership to DevOps and Platform Engineering teams.
The DevOps Architect will lead the design, implementation, and evolution of Cloud Native platforms and next-generation DevOps ecosystems. Responsibilities include defining reference architectures for multicloud Kubernetes environments, establishing CI/CD and GitOps standards, and ensuring scalable, secure, and automated solutions.
Design and develop generative AI solutions using LLMs, multimodal models, and multi-agent systems for complex business automation. Implement RAG architectures, optimize model performance, and manage the deployment of scalable AI services using containerization and CI/CD pipelines.
The Automation Engineer will develop, maintain, and evolve automation solutions using tools like Ansible, Python, and Terraform. They will collaborate with architecture, infrastructure, and operations teams to support existing automations and implement new technical standards.
Develop and maintain ETL processes using DataStage while optimizing data loads and performance. Provide support for incident resolution and participate in continuous improvement and evolutionary projects.
The role involves the administration and maintenance of Microsoft Windows Server and SQL environments, including cluster management and system migrations. You will also be responsible for automating tasks using PowerShell and applying system patches.
The role involves administering and maintaining complex Microsoft infrastructure, including Windows Server, Active Directory, and Azure Virtual Desktop environments. The candidate will also perform advanced troubleshooting, automation via PowerShell, and manage security and identity services within a global team.
The role involves the advanced administration, design, and maintenance of VMware and Microsoft infrastructure environments. Responsibilities include managing identity services, performing system updates, automating tasks, and resolving complex technical incidents.
Design and lead cloud-native architectures on Azure and AWS, focusing on microservices, event-driven systems, and API management. Mentor development teams and act as a technical reference for international clients and teams in the United States.
The role involves the administration and governance of the Power BI platform and Microsoft Fabric environments. Responsibilities include managing data gateways, resolving user incidents, and developing automation scripts to monitor platform performance.
The Service Manager will be responsible for managing services and driving the growth of the team in Madrid. The role involves overseeing service transitions and participating in pre-sales activities.
The Cloud Engineer will operate and administer AWS and Azure infrastructures, focusing on automation, maintenance, and incident resolution. They will collaborate with architecture and DevOps teams to evolve cloud platforms and implement infrastructure as code.
Develop and implement Python scripts and applications for process automation and complex technical solutions. Collaborate with the team to analyze requirements, manage code via Git, and participate in the full development lifecycle.
The SRE will manage, operate, and evolve container platforms based on Kubernetes, OpenShift, and cloud-native tools while applying GitOps methodologies. They are responsible for maintaining CI/CD pipelines, ensuring high availability, and automating operational tasks to improve system performance and security.
The technician will administer the CyberArk PAM platform, managing privileged accounts, safes, and access policies. They will also provide technical support for incidents, perform system patching, and collaborate with network and operations teams to improve service.
The candidate will design, implement, and manage secure and scalable AWS cloud architectures to meet business needs. They will also collaborate with cross-functional teams to automate infrastructure and drive cloud migration strategies.
The role involves designing and maintaining complex ETL and data pipelines while performing data modeling and performance tuning. You will work on national and international projects covering the entire data lifecycle, including data strategy, governance, and advanced analytics.
Design and implement data ingestion processes from various sources including databases, APIs, and files. Manage the full data lifecycle, including data modeling, quality assurance, and the development of ETL/ELT pipelines within the Azure and Microsoft Fabric ecosystem.
The DevOps Engineer will manage, operate, and evolve container platforms like Kubernetes and OpenShift while automating infrastructure and CI/CD processes. They will also perform troubleshooting, ensure platform availability and security, and act as a technical lead for the team.
Design and implement observability solutions including logs, metrics, and traces while creating advanced dashboards and alerts. Collaborate with DevOps and SRE teams to improve incident detection and integrate AI capabilities into observability platforms.
Design and develop advanced reporting solutions and dashboards using Power BI and Fabric. Translate business needs into analytical solutions, defining corporate KPIs and collaborating with data engineering teams.
Design, develop, and maintain data pipelines using Azure Data Factory and dbt, implementing transformation processes in Snowflake. Ensure data quality and reliability while collaborating with business and architecture teams to optimize the corporate data platform.
Lead the design, development, and implementation of low-code solutions, advanced automation, and generative AI agents. Responsibilities include building scalable architectures, managing ALM/DevOps standards, and advising the business on AI and automation strategies.
