Cloud Services Engineer
Role details
Job location
Tech stack
Job description
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Design, deploy, and manage Azure-based infrastructure and services.
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Collaborate with DevOps and Security teams to ensure best practices in CI/CD and governance.
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Design, implement, manage and optimize M365 Services
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Assist in developing and executing rollout plans for new M365 features and services, ensuring smooth adoption across the organization.
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Provide technical expertise and support for troubleshooting and resolving issues related to M365 and Azure cloud environments.
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Monitor performance, availability, and reliability of M365 and Azure services, implementing proactive measures for continual service improvement.
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Collaborate with Security team to ensure compliance with data security and governance policies in M365 and Azure environments.
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Collaborate with IT teams and stakeholders to assess current on-premises services and develop migration strategies to M365 and Azure
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Integration and configuration of M365 and Azure cloud services, adhering to best practices and security standards
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Provide Tier 3 support for M365 or Azure related issues
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Design and implement AI-powered solutions using Azure AI services (e.g., Azure OpenAI, Cognitive Services, Machine Learning).
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Integrate AI capabilities into business workflows and M365 tools (e.g., Copilot, Power Platform).
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Collaborate with data and analytics teams to support AI-driven insights and automation.
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Stay current with emerging AI technologies and recommend innovative use cases.
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Provide guidance and training to internal teams on cloud and AI capabilities.
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Maintain documentation for cloud architecture, configurations, and procedures.
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Participate in cloud strategy, planning, and continuous improvement initiatives.
Requirements
- Bachelor's degree in Computer Science, Information Technology or equivalent experience.
- 5+ years of experience in Cloud Engineering
- Proven experience as an M365 Engineer, Cloud Engineer, or similar role, with a focus on M365 and Azure cloud environments
- Familiarity with Azure AI services and M365 AI integrations.
- Solid understanding of cloud security, networking, and identity management
- Strong understanding of networking and security best practices.
- Familiarity with scripting (PowerShell, Bash, Python) for automation.
- Excellent communication and documentation skills.
- Experience in global or multi-site environments