At a Glance
- 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 DevOps and a strong understanding of AI technologies.
- Other info: Join a vibrant team dedicated to pushing technological boundaries.
The predicted salary is between 57600 - 84000 £ 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.
Infrastructure DevOps 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 Infrastructure DevOps Architect in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, 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 that highlights your projects related to AI infrastructure and DevOps. This is your chance to demonstrate your expertise in designing unified architectures and heterogeneous execution frameworks.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions specific to AI workloads and serverless architecture. Practice explaining complex concepts in simple terms, as communication is key in these roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Infrastructure DevOps Architect in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Infrastructure DevOps Architect role. Highlight any relevant projects or technologies you've worked with, especially those related to AI infrastructure and orchestration.
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 heterogeneous execution frameworks and any relevant tools or languages. We want to see how you can contribute to our unified AI Infra & Serving architecture platform.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
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 DevOps practices. Brush up on your knowledge of CPU/GPU/NPU frameworks and be ready to discuss how you would design a unified architecture for composite AI workloads.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios related to AI workload management during the interview. Think about how you would approach designing an orchestration platform or managing state across different execution environments. This will demonstrate your critical thinking and technical prowess.
✨Be Ready to Discuss Past Projects
Have examples from your previous work that highlight your experience with similar projects. Talk about specific challenges you faced while designing infrastructure solutions and how you overcame them. This gives the interviewer insight into your practical skills and adaptability.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current AI infrastructure and future plans. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it can spark a great conversation!