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Cloud Infrastructure Engineer - AI Startup, Remote, £85K

Hays Specialist Recruitment Limited
Posted 21 hours ago, valid for 21 days
Location

London, Greater London EC1R 0WX

Salary

£60,000 - £72,000 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • Join a pioneering tech company focused on AI and machine learning innovation, where you will collaborate with experts and industry leaders.
  • The role requires a Bachelor's or Master's degree in a relevant field and at least 5 years of experience in cloud engineering or backend development.
  • Responsibilities include architecting cloud infrastructure on AWS, Azure, and GCP, and automating deployments using IaC tools like Terraform.
  • Candidates should have proficiency in cloud-native applications, microservice architecture, and experience with large-scale automated cloud services.
  • The position offers a competitive salary, reflecting the expertise and experience required for this impactful role.

About Us:Join a pioneering tech company at the forefront of AI and machine learning innovation. Our team comprises experts from top-tier institutions and industry leaders, all dedicated to developing cutting-edge technology. We are backed by prominent investors and offer a collaborative environment where your contributions will have a significant impact on the future of AI applications.Responsibilities:- Collaborate with founders and engineering leaders to determine optimal cloud solutions.- Architect and manage cloud infrastructure on AWS, Azure, and GCP.- Ensure efficient data storage, processing, and security.- Identify and resolve issues in cloud infrastructure and deployments.- Automate provisioning, configuration, and deployment using IaC tools like Terraform and Ansible.- Develop robust backend services and APIs using Python frameworks (Django, Flask, FastAPI).- Design and implement CI/CD pipelines with tools like Gitlab CI/CD.- Focus on cloud security, software-defined networks, and compliance.Requirements:- Bachelor's or Master's degree from a well-known university, preferably Oxbridge, a member of the Russell Group, or Ivy League, in Computer Science, Engineering, IT, Mathematics, or a related field. - 5+ years of experience in cloud engineering, infrastructure engineering, or backend development.- Proficiency with cloud-native applications and microservice architecture.- Profound knowledge and hands-on experience in Large Language Model or AI/ML. - Hands-on experience with IaC tools (Terraform, CloudFormation) and Kubernetes.- Experience with large-scale automated cloud services in AWS or other public clouds.- Knowledge of network infrastructure in cloud environments, including DNS, BGP, VPC Peering, and more.- Experience with container orchestration platforms like ECS or Kubernetes and service mesh (Istio, Envoy).- Familiarity with edge/CDN networking products (Cloudflare, Cloudfront, Fastly).- Proven ability to influence technical decisions and execution within an organisation.Interested parties, please submit your application with an updated CV. Alternatively, please reach out to Brian Law at for a confidential chat.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.