9 English-speaking jobs in Leiria

Maintenance & Facilities Engineer responsible for equipment reliability and infrastructure performance. Develop preventive/predictive maintenance programs, utilize CMMS, and lead RCA investigations. Requires 5+ years in industrial maintenance.

Quality Engineer role driving assurance across manufacturing. Responsibilities include inspection, compliance, NCR/CAPA management, and leading Lean/Six Sigma projects. Requires a relevant engineering degree and knowledge of ISO 9001.

Develop high-quality commercial proposals by assessing technical project requirements and ensuring solution viability. This role requires a degree in Mechanical Engineering or related field and experience with technical documentation.

Senior Cloud & DevOps Engineer to design, automate, and operate secure, scalable cloud infrastructure on Microsoft Azure. Responsibilities include managing infrastructure, using Terraform/Ansible, administering Entra ID, and implementing security controls.

SRE to enhance infrastructure platform, driving automation and operational integrity. Responsibilities include managing cloud resources (Azure), using Terraform and Ansible, and securing systems. Requires cloud experience and proficiency in English.

Design and evolve Infrastructure as Code solutions using Terraform, Ansible, and scripting. Manage Azure cloud infrastructure, CI/CD pipelines, and Kubernetes/AKS environments while promoting DevOps and SRE best practices.

Site Reliability Engineer role focusing on building and securing scalable infrastructure on Azure. Responsibilities include using Terraform and Ansible, managing identity systems, and ensuring operational reliability.

Lead design and optimization of CRM platforms, ensuring scalable solutions and advanced data analytics. Requires expertise in Salesforce, C#, APIs, and data management. Mentoring junior engineers is part of the role.

Design, build, and deploy machine learning solutions at scale, including forecasting, anomaly detection, and LLM-powered applications. Leverage cloud and MLOps practices on Azure and Databricks. Collaborate with teams to integrate ML models into business applications.