System Engineer IAM

Join Our Team as a System Engineer IAM

Nebius AI is seeking a highly skilled System Engineer with a focus on Corporate Identity and Access Management (IAM) to join our IT Infrastructure team in Amsterdam, Netherlands. As a System Engineer IAM, you will play a crucial role in designing, implementing, and managing IAM controls and services, with a strong emphasis on Azure Active Directory (Azure AD). This position offers an exciting opportunity to work in a dynamic environment, contributing to the development of cutting-edge AI cloud solutions.

Key Responsibilities

IAM Development and Management

• Design, implement, and maintain IAM systems with a focus on Azure AD.
• Develop and enforce IAM policies, procedures, and best practices to secure and manage identities and access controls.
• Collaborate with other teams to integrate IAM solutions with applications, services, and infrastructure.
• Ensure compliance with security standards and regulatory requirements by regularly reviewing and updating controls.
• Monitor and troubleshoot IAM issues, ensuring high availability and performance of identity services.

Automation and Process Improvement

• Identify opportunities to automate repetitive tasks and processes across the organization.
• Build and maintain scripts and automation tools to support infrastructure tasks and operations using tools like PowerShell, Python, and GraphAPI.
• Work with cross-functional teams to understand their needs and develop automation solutions to improve efficiency and reduce manual workloads as part of our Automation as a Service (AaaS) initiative.

Systems Engineering

• Participate in the design, deployment, and management of infrastructure services, including cloud and on-premise environments.
• Support the maintenance, optimization, and migration of network, server, and storage systems to ensure seamless integration with controls.
• Collaborate with the infrastructure team to design and implement scalable, secure, and resilient systems.
• Implement and maintain infrastructure as code (IaC) using tools like Azure Resource Manager (ARM) templates, Terraform, or equivalent.

Security and Compliance

• Implement and maintain security best practices within the IAM framework and broader infrastructure environment.
• Conduct regular security assessments and audits of infrastructure systems.
• Manage vulnerability assessment processes and ensure timely patching of identified security vulnerabilities.

Collaboration and Support

• Provide expert guidance and support to other teams on issues and best practices.
• Assist in the onboarding of new employees by configuring access rights and permissions according to organizational policies.
• Work closely with stakeholders to understand and meet their needs, ensuring alignment with business objectives.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent experience.
• 3+ years of experience in System Engineer roles, with a strong focus on IAM.
• Proven experience with scripting and automation tools.
• Great understanding of networking, server, storage, and infrastructure.
• Experience with cloud services, particularly Azure, and hybrid cloud environments.
• Strong knowledge of security principles, including identity management, authentication, and authorization.
• Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
• Strong communication skills, with the ability to work collaboratively across teams.

Nice to Have

• Experience with multi-factor authentication (MFA), single sign-on (SSO), SCIM, SAML, and other advanced technologies.
• Familiarity with DevOps practices and tools.
• Proficiency with Infrastructure as Code (IaC) principles.

About Nebius AI

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. We provide high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. Our headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East.

Join us if you are up to the challenge and excited about AI and ML as much as we are!