151 English-speaking jobs in Coimbra

Manage global Meeting & Collaboration Spaces service operations, ensuring timely resolution of incidents and service requests. Own incident, request, problem, and change management processes. Maintain service documentation and manage operating partners. Monitor service performance, costs, and drive continual service improvement. Serve as subject-matter expert for Meeting & Collaboration services.

Global IT Project Manager to lead large-scale, complex IT infrastructure projects through full lifecycle. Experience in network upgrades, cybersecurity, cloud migrations, and hardware/software lifecycle refresh required. Minimum 5 years of project management experience with a proven track record of successful delivery. Strong technical background and experience with MS Project, Word, PowerPoint, and Excel.

Senior AI Engineer will design, build, and maintain scalable microservices using Java and Spring Boot. Responsibilities include architecting autonomous AI agents, integrating LLMs, and ensuring system reliability. Requires a Bachelor's degree, 8+ years of experience, Java development experience, and knowledge of prompt optimization and orchestration frameworks.

Leads the success of technology delivery initiatives, ensuring teams stay on track and deliver value promptly. Collaborates with Product Owners and Tech Leads to translate vision into reality, providing visibility on estimation, delivery targets, and managing cross-department dependencies. Champions a delivery approach that breaks down initiatives into manageable components, fostering rapid feedback and adaptation in complex Agile environments.

Lead the design and implementation of scalable AI and ML solutions across cloud data platforms. Define and lead architecture for scalable ML platforms, design end-to-end ML workflows using Databricks, and architect scalable data pipelines for AI/ML workloads. Establish MLOps best practices and partner with Data Engineering teams to optimize data models and feature stores.

Senior Frontend Developer to design and develop scalable, maintainable frontend solutions for Contact Center Agent and Supervisor products. Requires 5+ years of experience in frontend development with Angular or React, TypeScript/JavaScript, HTML, and CSS. Experience building complex product experiences and real-time applications is essential.

DevOps Engineer needed to deploy and maintain application infrastructure. Collaborate with development teams, support applications, and manage Linux servers. Experience with Kubernetes, Docker, and Helm required.

Power BI IT Analyst to design, develop, and maintain Power BI solutions. Experience with Power BI reporting, semantic models, and DAX is required. Collaborate with IT teams and external partners to integrate data from various sources. Provide support to business users and ensure reporting accuracy and performance.

Scrum Master to facilitate Scrum ceremonies, coach teams on Agile practices, and support Product Owner in backlog refinement. Requires strong experience in Scrum/Agile environments, knowledge of Scrum ceremonies, and experience with Jira.

Dataiku Expert to support teams on implementation and best practices, drive Data Engineering solutions, and ensure data quality within a Financial Services sector. Requires strong expertise in Dataiku, 5+ years as a Data Engineer, and proficiency in Python, SQL, ETL/ELT, and data pipeline architecture.

Technical Lead for a small team (~5 engineers) responsible for delivery, code quality, and technical direction of VoIP and PBX systems. Requires strong C++ expertise and experience leading engineers.

Software Engineer with 5+ years of experience in backend development or data-focused software development. Strong Java and Spring Boot skills for microservices development. Experience with SQL, relational databases, and RESTful APIs. Familiarity with CI/CD pipelines, Kubernetes, and Git. Collaborate with data and software engineering teams.

Senior Frontend Developer to design and develop modern, scalable frontend applications for AI-powered Contact Center and Unified Communications products. Will build and evolve AI-driven experiences, integrating with backend AI services and collaborating with designers, backend engineers, and AI teams. Requires 5+ years of experience in backend software development, strong expertise in JavaScript/TypeScript, HTML5, and CSS3, and experience with modern frontend frameworks like Angular or React.

Backend Developer (Node.js) to design, develop, and optimize APIs and microservices. Experience with Node.js, Express.js, NestJS, and databases required.

Data Engineer to design and implement robust data pipelines on Google Cloud Platform (GCP). Requires proficiency in GCP services, SQL, Python, DBT, and Terraform.

Software Architect to own technical matters for a portfolio of software testing products, including TestRail. Design scalable architectures, maintain codebase integrity, and guide feature delivery using PHP, MySQL, and JavaScript. Collaborate with Product Management on roadmap and release planning.

Software Architect to design scalable architectures for software testing products, including TestRail. Will guide feature delivery, collaborate with Product Management, and contribute to technical problem resolution using PHP, MySQL, and JavaScript. Requires a Bachelor's or Master's degree and 6+ years of software engineering experience with at least 2 years in an architectural or technical leadership role.

Software Architect to own technical matters for a portfolio of software testing products, including TestRail. Design scalable architectures, maintain codebase integrity, and guide feature delivery using PHP, MySQL, and JavaScript. Collaborate with Product Management on roadmap and release planning.

Mindera seeks a .NET Backend Developer with 6+ years of experience to develop performant, secure services and handle asynchronous workflows.

Develop large-scale distributed machine learning systems using TensorFlow, PyTorch, or Scikit-Learn. Collaborate with cross-functional teams to deploy and integrate models. Optimize feature extraction, transformation, and selection. Manage feature stores and ensure scalability, reliability, and cost efficiency of the machine learning platform.