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- Tasks: Lead the design and maintenance of scalable infrastructure for AI evaluations.
- Company: Join a cutting-edge team focused on large-scale AI systems and machine learning.
- Benefits: Enjoy flexible work options and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology, shaping the future of research and innovation.
- Qualifications: 8+ years in Python programming and Kubernetes, with strong AWS and security experience.
- Other info: Must be willing to travel to Central London twice a week.
The predicted salary is between 60000 - 84000 £ per year.
This position will be to take ownership of the infrastructure systems that power cutting-edge machine learning evaluations. You will have significant influence over the architecture, tools, and processes that support a growing research team focused on large-scale AI systems.
What You’ll Do:
- Design and maintain scalable, reliable infrastructure to support large language model evaluations using Infrastructure as Code (IaC) principles.
- Evaluate, select, and integrate technologies that support deployment and scaling (e.g., determining whether to adopt container orchestration tools).
- Develop internal tools that interact with infrastructure for scheduling jobs, managing access, storing evaluation outputs, and more.
- Partner closely with research staff to forecast and prepare for evolving system requirements, including high-performance compute environments.
- Ensure the smooth execution of evaluations across the entire stack — from cloud services and orchestration layers to application code.
- Manage cloud accounts, including provisioning resources, setting permissions, and optimizing for security and cost.
- Contribute to the design and enforcement of security protocols across the organization.
- Participate in growing and shaping a specialized infrastructure function as the team needs expand.
Who We’re Looking For:
- 8+ years of Programming in Python.
- Someone with a Software Engineering background.
- Proven ability to lead infrastructure planning through to final deployment.
- 8+ years of Designing and Architecting Kubernetes in Production.
- 5+ years of AWS experience.
- Experience implementing security practices.
- Experience working with Terraform.
- Someone happy to travel to Central London 2x a week.
Please apply with a detailed CV to be contacted!
Lead Platform Engineer employer: Signify Technology
Contact Detail:
Signify Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Platform Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in Infrastructure as Code (IaC) and container orchestration tools. Being able to discuss recent advancements or your personal experiences with these technologies during an interview can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the AI and machine learning fields, especially those who work with large-scale systems. Engaging in relevant online communities or attending meetups can provide insights into the challenges they face and how you can contribute solutions.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully led infrastructure planning and deployment. Highlighting your hands-on experience with Kubernetes and AWS will demonstrate your capability to handle the responsibilities of this role.
✨Tip Number 4
Showcase your understanding of security practices in cloud environments. Be ready to explain how you've implemented security protocols in past roles, as this is a crucial aspect of the position we're offering.
We think you need these skills to ace Lead Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Python programming, Kubernetes architecture, and AWS. Use specific examples that demonstrate your ability to lead infrastructure planning and deployment.
Showcase Relevant Experience: Include detailed descriptions of past projects where you implemented Infrastructure as Code (IaC) principles, managed cloud accounts, or developed internal tools. This will help illustrate your hands-on experience and technical skills.
Highlight Soft Skills: In addition to technical expertise, emphasise your ability to collaborate with research teams and adapt to evolving system requirements. Mention any leadership roles or experiences that showcase your ability to guide a team.
Craft a Compelling Cover Letter: Write a cover letter that explains why you're passionate about the role and how your background aligns with the company's goals. Be sure to mention your willingness to travel to Central London, as this is a requirement for the position.
How to prepare for a job interview at Signify Technology
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python, Kubernetes, and AWS in detail. Highlight specific projects where you've successfully implemented these technologies, focusing on the challenges you faced and how you overcame them.
✨Demonstrate Leadership Skills
Since this role involves leading infrastructure planning, be ready to share examples of how you've led teams or projects in the past. Discuss your approach to collaboration and how you ensure that all stakeholders are aligned.
✨Understand Infrastructure as Code (IaC)
Familiarise yourself with IaC principles and be ready to explain how you've applied them in previous roles. Discuss your experience with Terraform and any other tools you've used to manage infrastructure efficiently.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would handle situations involving scaling infrastructure, managing security protocols, or integrating new technologies into existing systems.
