**Hello! Do you think you found this opportunity by chance?** At **Nimber**, we dont believe in chance we believe in purpose, precision, and people who build with impact. If this role caught your eye, great. Keep reading Were not just hiring were assembling a team thats ready to shape the future of infrastructure, AI, and DevOps. If youre passionate about Kubernetes, databases, microservices, and machine learning pipelines, this is your moment to make a difference. ### **Position: System Administrator / DevOps Engineer** **Location:** Maia, Porto (On\-site) **Experience Level:** Mid to Senior (37 years) **Employment Type:** Full\-time **About the Role** ------------------ Youll be responsible for managing our full infrastructure stack from Kubernetes clusters and PostgreSQL data lakes to Python\-based microservices, ML pipelines, and LLM agent orchestration. This is a hands\-on role where your decisions directly impact performance, scalability, and innovation. **Key Responsibilities** ------------------------ ### **Infrastructure Management** * Design, deploy, and maintain production\-grade Kubernetes clusters * Manage container orchestration and service mesh configurations * Implement and maintain CI/CD pipelines for microservices * Oversee Docker image lifecycle, optimization, and security ### **Database Administration** * Administer and optimize PostgreSQL databases * Implement backup, recovery, and disaster recovery procedures * Monitor performance and apply optimization strategies * Ensure database security, access control, and compliance ### **Platform Operations** * Deploy and maintain Python microservices across environments * Manage ML pipeline infrastructure and model deployment workflows * Oversee LLM agent infrastructure and GPU resource allocation * Implement monitoring, logging, and alerting for AI/ML workloads * Apply Infrastructure as Code using modern DevOps practices * Ensure high availability, scalability, and performance ### **System Administration** * Maintain Linux\-based server infrastructure * Apply security best practices and compliance standards * Manage network configurations, load balancers, and service discovery * Automate routine tasks and system maintenance **Required Technical Skills** ----------------------------- ### **Core Infrastructure** * **Kubernetes,** **Docker,** **Linux,** **Cloud Platforms,** **Python** ### **Database \& Data Management** * **PostgreSQL,** **Security,** **Backup \& Recovery** ### **DevOps \& Automation** * **CI/CD,** **IaC,****Monitoring,** **Version Control,** **ML/AI Infrastructure,** **GPU Management** ### **Networking \& Security** * **Network Admi,** **Security,** **Service Mesh** **Preferred Qualifications** ---------------------------- * Bachelors in Computer Science, Engineering, or related field * Experience with microservices and distributed systems * Familiarity with GitOps and observability tools * Understanding of GDPR, SOX, and other compliance frameworks * Experience with Python environments (pip, conda) * Knowledge of LLM deployment and inference optimization * Certifications: CKA, CKAD, AWS Architect, etc. **Soft Skills \& Attributes** ----------------------------- * Strong analytical and problem\-solving mindset * Excellent communication in English * Ability to work independently and collaboratively * Proactive in identifying and resolving issues * Detail\-oriented with a commitment to documentation * Willingness to join on\-call rotation for critical systems **What We Offer** ----------------- * Competitive salary based on experience * Training budget and professional development * Modern office in Maia, Porto * Flexible working hours within core business times * Access to cutting\-edge technologies * Clear career growth path * Coffee and snacks always available **Work Environment** -------------------- This is an **on\-site position** in our **Maia office**. We believe in the power of in\-person collaboration to drive innovation and productivity. Our workspace is modern, tech\-equipped, and designed for creative problem\-solving. **Technical Interview Topics** ------------------------------ Be ready to discuss: * Kubernetes cluster design and troubleshooting * Database performance optimization * CI/CD pipeline architecture * Infrastructure scaling and capacity planning * Security incident response and mitigation * Disaster recovery strategies * Python microservices deployment * ML pipeline orchestration and model serving * LLM infrastructure and GPU optimization * Monitoring and alerting for AI/ML workloads **Tired of being just another number?** Apply now and become a **Nimber** where your work truly matters.