About Nembrini Consulting

Nembrini Consulting is an international consulting and technology advisory firm based in Switzerland, supporting clients across Europe and globally.

We specialize in business transformation, SAP and ERP consulting, finance and digital solutions, working with medium-sized companies and large international organizations, including large-scale international e-commerce projects. Our approach combines strong local presence, deep industry expertise and a pragmatic, results-oriented mindset.

We act both as a strategic partner for clients and as a career platform for consultants, offering exposure to complex transformation programs, international projects and long-term professional development opportunities.

About the Role

For one of our partner, we are looking for a DevOps Engineer to design, build, and operate highly reliable and secure infrastructure supporting production-grade AI and ML systems.

You will be responsible for ensuring availability, scalability, and operational excellence across cloud and on-premise environments, working closely with software, MLOps, and AI teams to accelerate delivery while maintaining high reliability standards.

This role is ideal for engineers who enjoy owning infrastructure end-to-end and operating systems at scale in mission-critical environments.

Start date: January 2026

Hard Requirements - Mandatory⚠️ Please apply only if all the following criteria are met

• EU or Swiss nationality or Swiss C permit
• 3+ years of professional experience as a DevOps Engineer
• Availability to work fully onsite in Switzerland (Lugano office and potentially client environments)
• Fluent English (written and spoken)

Key Responsibilities

• Design, implement, and maintain robust infrastructure for scalable AI/ML workloads
• Ensure high availability, reliability, performance, and security of production systems
• Build, operate, and improve CI/CD pipelines for safe and fast software and ML deployments
• Monitor system health, performance, and resource usage; implement alerting and incident response
• Automate infrastructure provisioning and configuration management (IaC)
• Collaborate with software engineers, MLOps, and AI teams to streamline workflows and reduce time-to-production
• Support hybrid cloud and on-prem environments, including GPU-based workloads

Required Skills and Experience

• Master’s degree in Computer Engineering, Computer Science, or related technical field
• (strong academic background preferred)
• Strong Linux systems knowledge and scripting skills (Bash, Python)
• Hands-on experience with containerization (Docker) and orchestration (Kubernetes)
• Solid knowledge of Infrastructure-as-Code tools (Terraform, Ansible, Helm)
• Proven experience building CI/CD pipelines (GitLab CI, GitHub Actions, Jenkins, or similar)
• Good understanding of networking fundamentals, security best practices, and observability
• Experience with monitoring and metrics systems (e.g. Prometheus, Grafana)
• Ability to work autonomously and collaboratively in cross-functional teams (DevOps, MLOps, AI, Software)

Languages

• English: fluent (mandatory)
• Italian: fluent (not mandatory)
• German: nice to have (not mandatory)

Nice to Have

• Experience with hybrid cloud and on-premise environments
• Familiarity with AWS, Azure, or GCP
• Experience managing GPU clusters or distributed computing platforms
• Knowledge of log management and incident analysis (ELK stack, Loki)
• Exposure to AI/ML toolchains (MLflow, Weights & Biases, Triton, similar)
• Strong Python proficiency for automation and tooling

Location and Working Model

• Switzerland-based role
• Hybrid setup with approximately 50% remote work from Lugano and 50% on-site at client location, depending on the project

What We Offer

• Permanent, full-time position in Switzerland
• Competitive compensation aligned with seniority and market standards
• Access to cutting-edge AI infrastructure and modern MLOps stacks
• High autonomy and strong ownership on production AI systems
• Direct impact on real-world, large-scale AI deployments
• Mentorship, continuous learning, and long-term growth opportunities