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- Tasks: Design cutting-edge AI infrastructure for advanced workloads and seamless integration.
- Company: Leading tech firm at the forefront of AI innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of AI with your expertise and creativity.
- Qualifications: Experience in AI architecture and strong technical skills required.
- Other info: Join a vibrant team dedicated to pushing technological boundaries.
The predicted salary is between 43200 - 72000 £ per year.
Responsibilities:
- Design a unified AI Infra & Serving architecture platform for composite AI workloads such as LLM Training & Inference, RLHF, Agent, and Multimodal processing.
- This platform will integrate inference, orchestration, and state management, defining the technical evolution path for Serverless AI + Agentic Serving.
- Design a heterogeneous execution framework across CPU/GPU/NPU for agent management.
DevOps Infrastructure Architect in Edinburgh employer: Microtech Global Ltd
Contact Detail:
Microtech Global Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps Infrastructure Architect in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI infrastructure and architecture. This gives us a tangible way to see what you can do and how you think about complex problems.
✨Tip Number 3
Prepare for interviews by diving deep into the latest trends in AI and DevOps. Brush up on your knowledge of heterogeneous execution frameworks and serverless architectures. We love candidates who are passionate and informed!
✨Tip Number 4
Don’t just apply anywhere—apply through our website! Tailor your application to highlight your experience with composite AI workloads and orchestration. It shows us you’re genuinely interested in being part of our team.
We think you need these skills to ace DevOps Infrastructure Architect in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the DevOps Infrastructure Architect role. Highlight any relevant projects or technologies you've worked with, especially those related to AI infrastructure and heterogeneous execution frameworks.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. Don’t forget to mention specific aspects of the job description that excite you.
Showcase Your Technical Skills: In your application, be sure to detail your experience with CPU/GPU/NPU architectures and any serverless technologies you've used. We want to see how you can contribute to designing our unified AI infrastructure platform.
Apply Through Our Website: We encourage you to apply directly 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 the StudySmarter family!
How to prepare for a job interview at Microtech Global Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially around AI infrastructure and heterogeneous execution frameworks. Brush up on your knowledge of CPU, GPU, and NPU architectures, as well as serverless AI concepts. Being able to discuss these topics confidently will show that you’re the right fit for the role.
✨Showcase Your Design Skills
Prepare to discuss your previous experiences designing architecture platforms. Bring examples of how you've integrated inference, orchestration, and state management in past projects. This will not only demonstrate your technical skills but also your ability to think critically about complex systems.
✨Be Ready for Problem-Solving Questions
Expect to tackle some scenario-based questions during the interview. Practice articulating your thought process when faced with challenges related to AI workloads or architectural design. This will help the interviewers see how you approach problem-solving and your ability to innovate under pressure.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company’s current projects or future plans regarding AI infrastructure. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it gives you a chance to engage in a meaningful conversation with your interviewers.
