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- Tasks: Build and manage scalable infrastructure for cutting-edge LLM evaluations.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Enjoy competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of AI technology.
- Qualifications: Strong engineering skills in Python and hands-on experience with AWS and Kubernetes required.
- Other info: This is a full-time, on-site position based in London.
The predicted salary is between 48000 - 72000 £ per year.
We are looking for an experienced Infrastructure Software Engineer to help build and maintain the systems that support cutting-edge evaluations of large language models (LLMs). You’ll lead decisions on infrastructure design, scale our evaluation tools, and work closely with researchers to support future needs.
Responsibilities:
- Build and manage scalable infrastructure for LLM evaluations (IaC, AWS, Kubernetes)
- Develop internal tools for orchestration, access, storage, and debugging
- Lead on cloud security and infrastructure best practices
- Collaborate across engineering and research to support experimental deployments
You should have:
- Strong engineering skills (preferably in Python)
- Hands-on experience with AWS, Kubernetes, and Terraform
- A track record of leading infra projects end-to-end
- Experience implementing cloud and container security practices
Network Engineer (Senior) employer: Signify Technology
Contact Detail:
Signify Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Network Engineer (Senior)
✨Tip Number 1
Familiarise yourself with the latest trends in cloud infrastructure, especially around AWS and Kubernetes. Being able to discuss recent developments or case studies during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Network with professionals in the industry through platforms like LinkedIn or relevant tech meetups. Engaging with others who work in similar roles can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to showcase your experience with Infrastructure as Code (IaC) tools like Terraform. Be ready to discuss specific projects where you implemented IaC, as this will highlight your hands-on experience and problem-solving skills.
✨Tip Number 4
Brush up on your Python skills, particularly in relation to automation and orchestration tasks. Having practical examples of how you've used Python in previous roles can set you apart from other candidates.
We think you need these skills to ace Network Engineer (Senior)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, Kubernetes, and Python. Emphasise any previous roles where you led infrastructure projects or developed scalable systems.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about working with large language models and how your skills align with the responsibilities listed in the job description. Mention specific projects that demonstrate your expertise.
Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Describe your role, the technologies used, and the impact of your work, especially in relation to cloud security and infrastructure best practices.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a senior engineering role.
How to prepare for a job interview at Signify Technology
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, AWS, Kubernetes, and Terraform in detail. Bring examples of past projects where you led infrastructure initiatives, as this will demonstrate your hands-on expertise.
✨Understand the Role's Responsibilities
Familiarise yourself with the specific responsibilities outlined in the job description. Be ready to explain how your previous experiences align with building scalable infrastructure and developing internal tools for orchestration and debugging.
✨Discuss Cloud Security Practices
Since the role involves leading on cloud security, be prepared to talk about your experience with implementing security best practices in cloud environments. Share specific examples of how you've ensured security in past projects.
✨Prepare for Collaborative Scenarios
Collaboration is key in this role, so think of examples where you've worked closely with researchers or other engineers. Highlight how you supported experimental deployments and contributed to team success.
