Senior Cloud Engineer - AI-ML Platform

Job Summary

As a Senior Cloud Engineer specialising in AI/ML Platform infrastructure, you will be at the heart of building and operating the cloud-native foundation that powers data, analytics, and artificial intelligence workloads across the organisation. In this pivotal role, you will design, deploy, and continuously improve scalable, resilient infrastructure on AWS - enabling AI/ML engineers and data scientists to develop, deploy, and monitor machine-learning models and AI services at production scale. You will own critical platform components end-to-end: from containerised workloads and streaming pipelines to networking, security, and CI/CD automation. Working at the intersection of cloud engineering, data platforms, and AI/ML operations, you will solve complex infrastructure challenges with a pragmatic, reliability-first mindset and directly shape the technical direction of a platform that drives meaningful business outcomes.

Responsibilities

• As a Senior Cloud Engineer specialising in AI/ML Platform infrastructure, you will be at the heart of building and operating the cloud-native foundation that powers data, analytics, and artificial intelligence workloads across the organisation.

• You will design, deploy, and continuously improve scalable, resilient infrastructure on AWS - enabling AI/ML engineers and data scientists to develop, deploy, and monitor machine-learning models and AI services at production scale.

• You will own critical platform components end-to-end: from containerised workloads and streaming pipelines to networking, security, and CI/CD automation.

• Working at the intersection of cloud engineering, data platforms, and AI/ML operations, you will solve complex infrastructure challenges with a pragmatic, reliability-first mindset and directly shape the technical direction of a platform that drives meaningful business outcomes.

  Qualifications

• You bring 5 or more years of hands-on cloud engineering experience, with strong expertise in AWS services including Elastic Container Service, Elastic Kubernetes Service, Virtual Private Cloud networking, and managed streaming solutions.

• You have proven experience provisioning and managing cloud infrastructure as code using Terraform and/or CloudFormation, and you are comfortable owning production environments end-to-end.

• You are skilled in building and maintaining CI/CD pipelines (for example using Azure DevOps) and apply disciplined version-control practices in collaborative engineering environments.

• You have hands-on experience designing and operating streaming platforms such as Apache Kafka or equivalent cloud-managed alternatives, with a focus on scalability and resilience.

• You implement platform security with confidence - including Transport Layer Security, secrets management, access controls, and authentication mechanisms such as JSON Web Tokens, OAuth, and LDAP.

• You have experience deploying, scaling, and monitoring AI/ML workloads and model-serving APIs, and you collaborate effectively with AI/ML engineers and data scientists to bring models into production.

• You hold a degree in Computer Science, Software Engineering, or a related field, or bring equivalent professional experience; familiarity with multi-cloud environments or Azure AI/ML services is a plus.

  Skills

• AWS

• Elastic Container Service (ECS)

• Elastic Kubernetes Service (EKS)

• VPC networking

• Terraform

• CloudFormation

• Azure DevOps

• Apache Kafka

• JSON Web Tokens

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