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A company is looking for an experienced Nutanix Engineer / Networking IT Support Engineer to provide Break & Fix support across enterprise infrastructure environments.

This freelance, on-call role requires a highly skilled professional able to diagnose, troubleshoot and resolve hardware, network and infrastructure-related incidents efficiently, while maintaining a high level of customer service and professionalism.

Role overview:

The ideal candidate will have strong technical expertise in Nutanix and networking technologies, a valid CCNA certification and fluent English communication skills.

Key responsibilities:

• Provide onsite and remote Break & Fix support for networking and infrastructure-related incidents;
• Deploy, configure and manage Nutanix HCI environments, including AOS, AHV and Prism;
• Perform system upgrades, patching and lifecycle management activities;
• Troubleshoot and resolve hardware, software, virtualization and network issues;
• Diagnose and resolve network connectivity problems involving TCP/IP, VLANs, DNS, DHCP and related technologies;
• Implement and support backup and disaster recovery solutions;
• Respond to critical incidents and service requests within agreed response times;
• Collaborate with global and regional teams on infrastructure and cloud-related projects;
• Maintain accurate technical documentation, incident reports and service records;
• Ensure professional interaction with end users, stakeholders and customers at all times.

Required skills and experience:

• Minimum of 5 years of experience in infrastructure, virtualization, networking or IT support engineering;
• Strong hands-on experience with the Nutanix ecosystem, including AOS, AHV and Prism;
• Experience supporting VMware and/or Hyper-V environments;
• Solid understanding of networking fundamentals, including TCP/IP, VLANs, DNS, DHCP, routing and switching;
• Proven experience providing Break & Fix support in enterprise environments;
• Ability to diagnose and resolve complex infrastructure and networking issues;
• Experience with backup and disaster recovery solutions;
• Scripting experience with PowerShell and/or Python is advantageous.

Mandatory requirements:

• Valid CCNA certification, Cisco Certified Network Associate;
• Minimum 90% pass score on the induction assessment;
• Fluent spoken and written English communication skills;
• Ability to work independently in customer-facing environments;
• Professional demeanor and strong customer service orientation.

Preferred qualifications:

• Nutanix certification, NCP or higher;
• Experience with cloud platforms such as AWS, Azure or GCP;
• Knowledge of automation tools such as Ansible and Terraform;
• Experience supporting enterprise networking infrastructure.

Soft skills:

• Excellent verbal and written communication skills in English;
• Strong professionalism and customer-facing skills;
• Ability to remain calm and effective during critical incidents;
• Proactive problem-solving mindset;
• Strong organizational and time-management skills;
• Ability to work collaboratively within distributed teams;
• Commitment to delivering high-quality technical support and customer satisfaction.

Continental is looking for an AI Platform Engineer to operate and evolve its enterprise AI-powered document search and Q&A platform deployed on Azure.

Continental is a leading tire manufacturer and industry specialist, developing and producing sustainable, safe and convenient solutions for automotive manufacturers, industrial customers and end customers worldwide.

Founded in 1871, the company generated sales of €19.7 billion in 2025 and currently employs around 78,000 people in 54 countries and markets.

Role overview:

At Continental Tires, analytical excellence is an integral part of processes that create business value. Tire IT works with domain experts from business units to identify opportunities that can be supported and solved through Artificial Intelligence and Advanced Analytics.

As an AI Platform Engineer, you will work as part of a global Data Science team, contributing from the Data Science Hub in Portugal and collaborating closely with colleagues across the globe.

Main responsibilities:

• Operate, monitor and continuously improve the enterprise AI platform across development, QA and production environments;
• Maintain and extend the platform’s three containerized services: FastAPI backend, Streamlit frontend and APScheduler-based document processing worker;
• Manage Azure infrastructure using Terraform, including App Service, Azure AI Search, Azure OpenAI deployments, Blob Storage, PostgreSQL, Redis and Key Vault;
• Build and maintain CI/CD pipelines in GitHub Actions for automated container builds, infrastructure deployments, LLM evaluation runs and release management;
• Onboard new AI use cases and workspaces by managing the datasource provisioning workflow from configuration to Azure resource creation;
• Develop and operate document scraping and processing pipelines that ingest content from SharePoint, internal wikis and web portals into Azure AI Search;
• Support LLM quality assurance by maintaining the automated evaluation pipeline and monitoring model behavior through observability tooling;
• Collaborate with Data Scientists to integrate new models and agents into the platform’s agentic query pipeline.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Data Science or similar studies;
• Reliable team player with a structured and self-organized working style;
• Minimum of 2 years of IT or industry experience in a DevOps, MLOps or platform engineering role;
• Solid experience with Python application development;
• Experience with containerization using Docker, including multi-stage build patterns and container image registries;
• Experience with cloud platforms, preferably Microsoft Azure, including App Service, Blob Storage, AI Search, Azure OpenAI and Microsoft Foundry;
• Good knowledge of Infrastructure as Code, preferably Terraform;
• Good knowledge of CI/CD processes and hands-on experience with GitHub Actions or comparable tooling;
• Strong communication skills and ability to work effectively with Data Scientists, business stakeholders and IT teams;
• Proficient written and spoken English;
• Experience working in a multinational company is a plus.

Offer:

• Integration in a challenging and international work environment;
• Flexible working model;
• Collaborative working style;
• Continuous opportunities for talent development and training;
• Opportunity to make a difference.

Inclusion:

Continental is committed to fostering a workplace where everyone feels safe, respected and valued. All kinds of applications are welcome.

Ready to drive with Continental? Take the first step and submit your online application.

Inetum is looking for a talented and motivated Data Engineer/Data Analyst to join its team.

Inetum is a European leader in digital services, with 28,000 consultants and specialists working to create digital impact for businesses, public sector entities and society.

Present in 19 countries, Inetum partners with major software publishers to address digital transformation challenges with proximity and flexibility. Driven by its ambition for growth and scale, the company generated sales of 2.5 billion euros in 2023.

Role overview:

This role is ideal for someone with a passion for working with large data sets, creating efficient data pipelines and turning data into actionable insights.

Responsibilities:

• Design and build robust data pipelines;
• Design and implement performant data pipelines with large data volumes;
• Work with large data sets to support actionable business insights.

Qualifications:

• Experience with Data Warehouse concepts, including Data Vault 2.0 and Kimball;
• Experience developing with Python and SQL;
• Experience using Git for version control;
• Experience designing and implementing performant data pipelines with large data volumes;
• Understanding of CI/CD principles.

Bosch Car Multimedia, S.A. is looking for a GenAI Engineer to design, prototype and implement AI agents that enhance and automate engineering workflows across Bosch.

The Bosch Group has more than 400,000 employees worldwide, is present in 60 countries and works to develop high-quality technologies and services that enrich people’s lives and contribute to a more sustainable future.

Bosch Car Multimedia belongs to the Automotive Electronics division and focuses on making vehicles the third living space. Around 3,600 associates develop and produce high-quality technology that shapes change in mobility worldwide.

Role overview:

As a GenAI Engineer, you will translate complex engineering use cases into intelligent, reliable and compliant GenAI solutions that accelerate innovation and improve efficiency.

Key responsibilities:

• Design and implement GenAI agents to support engineering tasks such as requirements analysis, documentation assistance, test interpretation and failure analysis;
• Build and maintain AI pipelines using LLMs, embeddings, vector databases and domain-specific knowledge sources;
• Integrate AI agents with engineering tools, databases and repositories, including PLM systems, test data platforms and document management systems;
• Develop Retrieval-Augmented Generation, RAG, pipelines for structured and semi-structured engineering data;
• Ensure agent reliability, traceability and safe behavior in regulated engineering environments;
• Collaborate with domain experts to evaluate usability, performance and fitness for purpose;
• Document system architectures, APIs, integration points and operational guidelines;
• Work closely with security and compliance teams to ensure responsible and compliant AI usage.

Education:

• Degree in Computer Science, Engineering, Data Science or a related field.

Experience:

• Experience in GenAI development, agent orchestration or AI-assisted tooling;
• Solid software engineering background, preferably with Python;
• Experience with APIs and microservices;
• Experience working with structured and semi-structured data, such as JSON, PDFs and engineering documentation.

Know-how:

• Strong understanding of LLM integration patterns, embeddings and vector databases;
• Knowledge of agent frameworks, such as LangChain, LlamaIndex, OpenAI Agents, CrewAI, Swarm and MCP;
• Experience with MLOps, AI observability, evaluation frameworks or model deployment is a plus;
• Familiarity with PLM systems, engineering workflows or compliance standards in automotive or industrial environments is an advantage.

Languages:

• Proficiency in English;
• German is a plus.

Working style:

• Structured, reliable and solution-oriented working style;
• Ability to collaborate effectively with cross-functional engineering teams;
• Comfortable working in iterative and experimental environments.

Personality:

• Curious, proactive and eager to explore new technologies;
• Strong communication skills and collaborative mindset;
• Open to learning and working with diverse teams and perspectives.

Benefits:

• Flexible work conditions;
• Hybrid work system;
• Exchange with colleagues around the world;
• Health insurance;
• Medical office on site, including psychology and general clinic;
• Social Services Office on site;
• Training opportunities, including technical training and foreign languages training;
• Certifications;
• Opportunities for career progression and continuous professional development;
• Access to discounts through partnerships and Bosch products;
• Sports and health-related activities;
• Great access to public transport;
• Free transport from Porto;
• Flexible benefits platform;
• Free parking lot;
• Canteen.

Diversity and inclusion:

Bosch values diversity and equal opportunities. The company welcomes applications from people with disabilities and can provide reasonable accommodations during the recruitment process and in the performance of professional activity.

Success stories do not just happen. They are made. Make it happen.

A Randstad Digital está a recrutar um/a Data Analyst, na área de Quality Procurement, para integração direta num cliente internacional, com escritórios em Lisboa e Coimbra.

Responsabilidades:

• Colaborar com equipas internacionais ao longo da gestão do fluxo de valor e garantir soluções end-to-end;
• Prestar consultoria a diferentes clientes em projetos de melhoria e desenvolvimento digital;
• Compreender, desafiar e traduzir as necessidades do cliente em user stories ou tarefas claras;
• Consolidar dados do Skywise, analisando, visualizando e interpretando a informação para fornecer entregáveis específicos, como KPIs, dashboards, análises de desempenho, recomendações de negócio e relatórios;
• Atualizar e manter relatórios existentes;
• Criar e enriquecer datasets provenientes das áreas de Qualidade e Compras;
• Criar ferramentas de análise de dados para apoiar a antecipação de desempenho;
• Estabelecer a ligação entre o sistema de análise de dados e o sistema de gestão de desempenho;
• Emitir relatórios regulares sobre os principais processos de Quality Procurement, como SARIs, NC, Concessões e QSRs;
• Preparar revisões de desempenho e facilitar a partilha de dados entre stakeholders;
• Realizar análise de causas-raiz e recomendações para apoiar a tomada de decisão;
• Identificar e definir projetos de melhoria para alcançar o desempenho pretendido;
• Manter os Google Sites de Quality Procurement associados aos dashboards.

Perfil pretendido:

• Licenciatura em Engenharia Informática, Data Analytics ou área semelhante;
• Mais de 2 anos de experiência profissional em funções semelhantes;
• Capacidade de resolução de problemas e identificação de causas-raiz através de dados;
• Competências de programação em Python/PySpark, R, Java ou equivalente;
• Excelentes competências em G Suite;
• Experiência em gestão de dados;
• Experiência em gestão de stakeholders e orientação para o cliente;
• Compreensão de gestão de desempenho e gestão de projetos, nomeadamente metodologias Waterfall e Agile;
• Boa capacidade analítica e de trabalho em equipa;
• Nível fluente de inglês.

Principais benefícios:

• Remuneração base competitiva;
• Subsídio de alimentação;
• Seguro de saúde;
• Prémios;
• Outros benefícios.