System Administrator / DevOps Engineer
Nimber.com
Office
Maia, Portugal
Full Time
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.