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- Tasks: Design and develop automated solutions in Azure, tackling complex problems with innovative tech.
- Company: Join a forward-thinking tech company focused on cloud solutions and collaboration.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by working with cutting-edge cloud technologies and AI services.
- Qualifications: Experience in Azure, Python, and Infrastructure-as-Code is a plus.
- Other info: Be part of a dynamic team with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Act as a Technical SME designing and developing innovative automated solutions to complex problems utilising the cloud environments. Design and support custom-built applications within Azure environment ensuring secure, reliable and high-performing deployments.
Build and manage Azure Infrastructure including Virtual Machines, VM images, Virtual Networks (VNets), subnets, private endpoints and Azure Storage. Develop and deploy Python functions within an Azure Functions App. Develop Infrastructure-as-Code (IaC) such as ARM templates, Bicep or Terraform.
Support CI/CD practices through deployment automation and version-controlled infrastructure in Azure DevOps. Integrate monitoring, logging and diagnostics for custom applications using Azure Monitor, Application Insights and Log Analytics. Integrate with AI-related Azure services such as OpenAI and contribute to integration strategies involving LLMs.
Ensure that custom-built applications are built and maintained in line with standards, governance and controls, ensuring compliance with SDLC, DEPLO, AI Governance and legal, regulatory requirements. Support and extend an existing architecture in close partnership with the principal architect and core development team.
Produce well-documented, maintainable infrastructure configurations and effectively communicate implementation details with engineers and stakeholders. Work within an evolving technical landscape and contribute to the refinement and evolution of architecture and infrastructure decisions.
Utilise strong problem-solving skills with the ability to investigate issues, troubleshoot deployment challenges and propose scalable and secure solutions. Promote a self-critical and continuous assessment and improvement culture whereby identification of weaknesses in the.
Azure DevOps Engineer in Sheffield employer: W3Global
Contact Detail:
W3Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure DevOps Engineer in Sheffield
✨Tip Number 1
Network like a pro! Reach out to folks in the Azure DevOps community, attend meetups, and connect with professionals 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 showcasing your projects, especially those involving Azure Infrastructure, Python functions, and IaC. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice common scenarios related to CI/CD practices and deployment automation. We recommend using platforms that simulate real-world challenges to get you ready.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience with Azure services and your ability to work within evolving technical landscapes.
We think you need these skills to ace Azure DevOps Engineer in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Azure DevOps Engineer role. Highlight your experience with Azure, CI/CD practices, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific examples of projects where you've designed and developed automated solutions in cloud environments. We love seeing real-world applications of your skills, so don’t hold back on the details!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to communicate your achievements effectively. We appreciate straightforward communication!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at W3Global
✨Know Your Azure Stuff
Make sure you brush up on your Azure knowledge before the interview. Be ready to discuss your experience with Azure Infrastructure, including Virtual Machines and Networking. Familiarise yourself with the latest features and best practices, as this will show your passion and commitment to the role.
✨Showcase Your Automation Skills
Prepare to talk about your experience with Infrastructure-as-Code tools like ARM templates, Bicep, or Terraform. Have examples ready that demonstrate how you've successfully implemented CI/CD practices and deployment automation in previous projects. This will highlight your technical expertise and problem-solving abilities.
✨Communicate Clearly
Effective communication is key! Be ready to explain complex technical concepts in a way that's easy to understand. Practice discussing your past projects and how you collaborated with teams, as this will showcase your ability to work well with others and convey important information clearly.
✨Stay Current with AI Trends
Since the role involves integrating AI-related Azure services, make sure you're up-to-date with the latest trends in AI and how they relate to Azure. Be prepared to discuss any relevant projects or ideas you have for leveraging AI in cloud environments, as this will demonstrate your forward-thinking approach.
