Systems Administrator

We are looking for a skilled Linux System Administrator to support our Machine Learning and Artificial Intelligence operations.

The successful candidate will be responsible for ensuring the stability, scalability, and security of our Linux-based infrastructure, which includes but is not limited to, clusters, grids, and clouds.

This role requires strong technical expertise in Linux system administration, as well as experience with containerization (e.

g., Docker) and orchestration (e.g., Kubernetes). The ideal candidate will have a passion for ML / AI and be eager to collaborate with our data science and engineering teams to optimize our workflows.

If you would like to know a bit more about this opportunity, or are considering applying, then please read the following job information.

Responsibilities :

• Manage and maintain the health of our Linux-based infrastructure, including servers, clusters, grids, and clouds.
• Ensure system uptime, performance, and security by monitoring logs, metrics, and alerts.
• Implement automation tools (e.g., Ansible, SaltStack) to streamline system deployment, configuration, and management.
• Collaborate with data science and engineering teams to design and implement optimized workflows for ML / AI workloads.
• Provide technical guidance on Linux system administration best practices and standards.
• Troubleshoot complex system issues and provide timely resolution.
• Develop and maintain documentation of system configurations, procedures, and troubleshooting guides.

Qualifications :

• In-depth knowledge of Linux distributions (e.g., Ubuntu, CentOS), including kernel tuning, system configuration, and troubleshooting.
• Experience with containerization using Docker and orchestration using Kubernetes.
• Experience with configuration management tools (e.g., Ansible, SaltStack).
• Excellent problem-solving skills, with the ability to work independently and as part of a team.
• Strong communication and documentation skills.

It would be nice if you also had :

• Experience with ML / AI frameworks and libraries (e.g., TensorFlow, PyTorch).
• Knowledge of data storage solutions (e.g., HDFS, Ceph).
• Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack).

What we offer :

Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.

Nokia is committed to inclusion and is an equal opportunity employer.

Nokia has received the following recognitions for its commitment to inclusion & equality :

• One of the World's Most Ethical Companies by Ethisphere
• Gender-Equality Index by Bloomberg
• Workplace Pride Global Benchmark

At Nokia, we act inclusively and respect the uniqueness of people. Nokia's employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.

We are committed to a culture of inclusion built upon our core value of respect. Join us and be part of a company where you will feel included and empowered to succeed.

Additional Information :

US / Canada Nokia Offers a comprehensive benefits package that includes but is not limited to :

• Corporate Retirement Savings Plan
• Health and dental benefits
• Short-term disability, and long-term disability
• Life insurance, and AD&D - Company paid 2x base pay
• Optional or Supplemental life and AD&D insurance (Employee / Spouse / Child)
• Paid time off for holidays and Vacation
• Employee Stock Purchase Plan
• Tuition Assistance Plan
• Adoption assistance
• Employee Assistance Program / Work Life Resource Program

The above benefits exclude students.

Disclaimer for US / Canada :

Nokia Maintains broad annual base salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, and with consideration to internal peer equity.

All North America job posts will post for a minimum of 7 calendar days and up to 180 days or until candidate / s identified.

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