Enterprise Applications Engineer

Nebius is leading a new era in cloud computing to serve the global AI economy. They are seeking a Senior Enterprise Applications Engineer to manage and improve their collaboration application ecosystem, ensuring security and integration with organizational needs.

Responsibilities:

• Administer, configure, and maintain collaboration and productivity SaaS platforms, including Atlassian Cloud (Jira, Jira Service Management, Confluence, Assets, Statuspage), Slack, Zoom, and adjacent tools as needed
• Own platform reliability and operational health: monitoring, incident response, problem management, and continuous improvement (runbooks, SLAs/SLOs where applicable)
• Design and manage Jira/JSM configurations (workflows, automation rules, custom fields, request types, SLAs, portals, permission schemes) aligned to organizational standards
• Manage Confluence spaces, templates, and permissions, ensuring consistent governance and information architecture across departments
• Implement and support identity federation and user lifecycle management (SSO, SCIM) via Azure Entra ID (Azure AD) and enforce least-privilege access models across platforms
• Build and maintain automations and integrations using APIs, webhooks, and automation tooling (e.g., Atlassian Automation, Slack/Zoom APIs, scripts in Python/PowerShell), enabling cross-tool workflows and reducing manual admin effort
• Evaluate, onboard, and manage third-party apps/add-ons and AI capabilities (security review, supportability, licensing/cost management, and vendor engagement)
• Partner with Security, Compliance, and IT Governance to ensure adherence to data retention, access control, audit requirements, and secure configuration baselines
• Support enterprise AI systems used for collaboration and productivity (e.g., AI assistants/copilots, enterprise search/knowledge tooling) with governance, access, integrations, and responsible enablement
• Maintain documentation, change logs, configuration records, and standards for all owned systems; drive consistent operating procedures and change management
• Collaborate with project teams and business owners to optimize use cases, drive adoption, and deliver platform enhancements via a clear backlog and roadmap
• Provide tier-3 user support, training, and best-practice guidance for collaboration tools; develop self-service and enablement materials where appropriate

Requirements:

• 5+ years of hands-on experience administering and supporting enterprise collaboration SaaS platforms (deep expertise in at least one; broad competence across several)
• Strong experience with Atlassian Cloud administration (Jira Software and/or Jira Service Management, Confluence), including scalable configuration design (workflows, automation, permissions, and governance)
• Experience administering and governing Slack and/or Zoom (workspace governance, policies, roles, and integrations) or comparable collaboration platforms
• Practical experience with SSO, SCIM, and user lifecycle management via Azure Entra ID (Azure AD) or an equivalent identity provider
• Experience with API-based integrations and automation; comfortable with scripting (Python, PowerShell, or similar) and working with webhooks/REST APIs
• Understanding of SaaS governance principles, including access reviews, retention, audit controls, and BCP/DR considerations for critical systems
• Ability to evaluate and manage marketplace apps/add-ons and AI features with a focus on security, supportability, and business value
• Excellent problem-solving and communication skills with a collaborative mindset; comfortable working with technical and non-technical stakeholders
• Passion for process improvement, automation, reliability, and knowledge sharing
• Experience with ITSM practices and tooling (incident/problem/change), including running service operations for SaaS platforms
• Experience with Jira Service Management as an enterprise service platform (portals, catalogs, assets/CMDB concepts, and integrations)
• Familiarity with information security and privacy controls relevant to collaboration and AI systems (e.g., retention/eDiscovery concepts, DLP, conditional access)
• Experience with integration platforms (iPaaS) and/or enterprise automation frameworks