Platform Engineer | AWS | Kubernetes | Python | Terraform | Docker | Hybrid, Cambridge

Platform Engineer | AWS | Kubernetes | Python | Terraform | Docker | Hybrid, Cambridge

Who we are

We are an ambitious, research-led AI company developing cutting-edge technologies to solve some of the world's most complex optimisation problems.

Founded by a team of leading researchers from globally recognised AI research organisations and academic institutions, we combine deep expertise in artificial intelligence, algorithms, and mathematics to push the boundaries of what's possible.

We're building a team of exceptional engineers and researchers who are passionate about AI and excited by the opportunity to shape the next generation of transformative technologies.

About the role

We are seeking a skilled Platform Engineer to join our growing team. You will play a key role in designing, deploying, and maintaining our cloud infrastructure, directly influencing the performance, reliability, security, and cost-efficiency of our AI workloads.

This is an opportunity to work on technically challenging infrastructure problems in a fast-moving, highly innovative AI environment.

Key responsibilities:

• Design, implement, and maintain cloud-based infrastructure across major cloud providers (AWS, GCP, Azure, etc.).
• Establish and implement security best practices and infrastructure hardening across cloud deployments.
• Deploy and operate AI agents at scale, ensuring high availability and robust performance.
• Implement monitoring, logging, and observability solutions to enhance system visibility.
• Collaborate closely with product and engineering teams to ensure infrastructure supports evolving business and technical requirements.
• Take ownership of service reliability and defined SLOs, including participation in on-call rotations.

Qualifications

• 5+ years of experience working with cloud infrastructure on a major cloud platform (AWS, GCP, Azure).
• Hands-on experience with infrastructure-as-code (IaC) in production environments, using tools such as Terraform and Helm.
• Strong understanding of cloud security principles and best practices.
• Practical experience deploying and managing Kubernetes environments.
• Bachelor's degree in Computer Science, Engineering, a related field, or equivalent professional experience.

What sets you apart

• Familiarity with security frameworks and compliance standards such as SOC 2 or ISO 27001.
• Experience supporting large-scale AI/ML workloads, particularly GPU-based infrastructure.
• Knowledge of AI agents, LLM-based systems, or LLM inference infrastructure.
• Programming experience with Golang and Python.
• Contributions to open-source projects or active involvement in technical communities.

What we offer

• Competitive compensation and a comprehensive benefits package.
• The opportunity to work alongside highly accomplished AI researchers and engineers.
• Exposure to cutting-edge AI technologies and complex infrastructure challenges.
• A collaborative, intellectually stimulating environment with significant opportunities for ownership and impact.
• The chance to contribute to the development of next-generation AI systems.

Platform Engineer | AWS | Kubernetes | Python | Terraform | Docker | Hybrid, Cambridge