Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design cutting-edge AI infrastructure for advanced workloads and enhance serverless AI capabilities.
- Company: Join a forward-thinking tech company based in Edinburgh, Scotland.
- Benefits: Competitive salary, flexible remote work options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and shape the future of intelligent systems.
- Qualifications: Strong knowledge in system architecture and hands-on experience with cloud-native technologies.
- Other info: Exciting role with potential for significant impact in a dynamic tech environment.
The predicted salary is between 36000 - 60000 £ per year.
Location: Edinburgh, Scotland
Type: Permanent
On-Site Working Required, No Sponsorship Provided
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 memory, tool invocation, and long-running multi-turn conversations and tasks. Build an efficient memory/KV-cache/vector store/logging and state-management subsystem to support agent retrieval, planning, and persistent memory.
- Build a high-performance Runtime/Framework that defines the next-generation Serverless AI foundation through elastic scaling, cold start optimization, batch processing, function-based inference, request orchestration, dynamic decoupled deployment, and other features to support performance scenarios such as multiple models, multi-tenancy, and high concurrency.
Key Requirements:
- Strong foundational knowledge in system architecture, or computer architecture, operating systems, and runtime environments.
- Hands-on experience with Serverless architectures and cloud-native optimization technologies such as containers, Kubernetes, service orchestration, and autoscaling (vLLM, SGLang, Ray Serve, etc.); understand common optimization concepts such as continuous batching, KV-Cache reuse, parallelism, and compression/quantization/distillation.
- Proficient in using Profiling/Tracing tools; experienced in analyzing and optimizing system-level bottlenecks regarding GPU utilization, memory/bandwidth, Interconnect Fabric, and network/storage paths.
- Proficient in at least one system-level language (e.g., C/C++, Go, Rust) and one scripting language (e.g., Python).
If you're interested in applying, please reach out to daniel@microtech-global.com.
Network Architect (Remote) in Edinburgh employer: Microtech Global Ltd
Contact Detail:
Microtech Global Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Network Architect (Remote) in Edinburgh
✨Tip Number 1
Network with industry professionals! Join online forums or local meetups related to AI and infrastructure. Engaging with others in the field can lead to valuable connections and job leads.
✨Tip Number 2
Showcase your skills through projects! Build a portfolio that highlights your experience with Serverless architectures and cloud-native technologies. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and system design questions. Focus on areas like GPU utilization and memory management, as these are crucial for the role of a Network Architect.
✨Tip Number 4
Apply directly through our website! We love seeing candidates who take the initiative. Make sure to tailor your application to highlight your relevant experience and passion for AI infrastructure.
We think you need these skills to ace Network Architect (Remote) in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Network Architect role. Highlight your experience with system architecture and cloud-native technologies, as these are key for us. Use specific examples that showcase your skills in designing AI infrastructure.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about AI infrastructure and how your background aligns with our needs. Keep it concise but impactful, and don’t forget to mention any relevant projects you've worked on.
Showcase Your Technical Skills: We want to see your technical prowess! Be sure to include your experience with Serverless architectures, profiling tools, and any programming languages you’re proficient in. This will help us understand your fit for the role right away.
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 position. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Microtech Global Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of system architecture and cloud-native technologies. Be ready to discuss your hands-on experience with Serverless architectures, Kubernetes, and any profiling tools you've used. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios related to AI infrastructure design. Think about how you would approach optimising GPU utilisation or managing state in a multi-tenancy environment. Demonstrating your thought process will impress interviewers.
✨Familiarise Yourself with the Company’s Projects
Research the company’s current projects and technologies they use. Understanding their approach to AI workloads and serverless architectures will help you tailor your answers and show genuine interest in their work.
✨Ask Insightful Questions
Prepare some thoughtful questions about the role and the team. Inquire about their challenges with AI infrastructure or how they envision the evolution of their platform. This shows you're not just interested in the job, but also in contributing to their success.
