Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and manage Azure infrastructure, optimise M365 services, and implement AI solutions.
- Company: Join a forward-thinking tech company focused on cloud innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of cloud technology and AI, making a real difference.
- Qualifications: 5+ years in Cloud Engineering with expertise in M365 and Azure.
- Other info: Dynamic team environment with a focus on continuous improvement and learning.
The predicted salary is between 36000 - 60000 £ per year.
Responsibilities
- Design, deploy, and manage Azure-based infrastructure and services.
- Collaborate with DevOps and Security teams to ensure best practices in CI/CD and governance.
- Design, implement, manage and optimize M365 Services
- Assist in developing and executing rollout plans for new M365 features and services, ensuring smooth adoption across the organization.
- Provide technical expertise and support for troubleshooting and resolving issues related to M365 and Azure cloud environments.
- Monitor performance, availability, and reliability of M365 and Azure services, implementing proactive measures for continual service improvement.
- Collaborate with Security team to ensure compliance with data security and governance policies in M365 and Azure environments.
- Collaborate with IT teams and stakeholders to assess current on-premises services and develop migration strategies to M365 and Azure
- Integration and configuration of M365 and Azure cloud services, adhering to best practices and security standards
- Provide Tier 3 support for M365 or Azure related issues
- Design and implement AI-powered solutions using Azure AI services (e.g., Azure OpenAI, Cognitive Services, Machine Learning).
- Integrate AI capabilities into business workflows and M365 tools (e.g., Copilot, Power Platform).
- Collaborate with data and analytics teams to support AI-driven insights and automation.
- Stay current with emerging AI technologies and recommend innovative use cases.
- Provide guidance and training to internal teams on cloud and AI capabilities.
- Maintain documentation for cloud architecture, configurations, and procedures.
- Participate in cloud strategy, planning, and continuous improvement initiatives.
Qualifications
- Bachelor\’s degree in Computer Science, Information Technology or equivalent experience.
- 5+ years of experience in Cloud Engineering with 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.
#J-18808-Ljbffr
Cloud Services Engineer employer: Alkegen
Contact Detail:
Alkegen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Services Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to Azure and M365. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common cloud engineering questions and scenarios. Practice explaining your past experiences with Azure and M365, and be ready to discuss how you’ve tackled challenges in those environments.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Cloud Services Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Cloud Services Engineer role. Highlight your experience with Azure and M365, and don’t forget to mention any relevant projects or achievements that showcase your skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about cloud services and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: We want to see your technical prowess! Be specific about your experience with Azure AI services, scripting languages, and any troubleshooting you've done in cloud environments. This will help us understand your expertise.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Alkegen
✨Know Your Cloud Stuff
Make sure you brush up on your Azure and M365 knowledge. Be ready to discuss specific projects you've worked on, especially those involving cloud infrastructure and services. Highlight your experience with CI/CD practices and how you've collaborated with DevOps and Security teams.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled issues in cloud environments. Think about times when you provided Tier 3 support or resolved complex problems related to M365 or Azure. This will demonstrate your technical expertise and ability to troubleshoot effectively.
✨Stay Current with AI Trends
Since the role involves AI-powered solutions, be ready to discuss emerging AI technologies and how they can be integrated into business workflows. Share any innovative use cases you've encountered or implemented, especially using Azure AI services.
✨Communicate Clearly
Strong communication skills are key! Practice explaining technical concepts in a way that's easy to understand. Be prepared to discuss how you've documented cloud architecture and configurations, as well as how you’ve trained others on cloud and AI capabilities.
