AI Platform Engineer (Cloud)

Sky Retail Stores; Livingston; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Free Sky TV / NOW package

Pension with up to 9% employer contrib

Private healthcare

Dental insurance

Discounts on Sky products

Sharesave and Tech schemes

Sky VIP rewards

Job summary

Sky is seeking a Cloud/AI Platform Operations Engineer to join the Group AI Engineering team. You will keep production AI services reliable, secure and cost-effective, owning the platform, pipelines, monitoring, and incident response.

The role emphasises cloud operations and building scalable, observable systems with strong security practices. You’ll work primarily with AWS, with flexibility for Azure or Google Cloud, and you will support Python services, CI/CD, and IaC while collaborating with

Qualifications

• Experience in DevOps or cloud/platform engineering.
• Experience supporting production systems in a cloud environment (AWS preferred).
• Knowledge of CI/CD, source control, deployment automation, and infrastructure as code.
• Experience with Docker and exposure to Kubernetes, Cloud Foundry, or similar platforms.
• Linux fundamentals, networking, APIs, identity, secrets, and cloud security basics.
• Experience with monitoring and observability tools.
• Python reading, troubleshooting, and writing automation scripts.
• Strong communication and incident management; calm point of contact during incidents.
• Experience in an Agile delivery environment.

Responsibilities

• Maintain and improve cloud infrastructure for production AI services.
• Build and support CI/CD pipelines and infrastructure as code.
• Operate containerised applications using Docker, Kubernetes, Cloud Foundry, or similar platforms.
• Monitor system health, investigate incidents, and improve reliability for infra and AI signals.
• Act as frontline contact for AI service issues, keeping stakeholders informed during triage.
• Support Python services through log analysis, troubleshooting, and basic code changes.
• Manage access, secrets, dependencies, vulnerabilities, and security findings per Sky standards.
• Monitor infra and AI service costs, attribute spend across teams, identify efficiency gains.
• Collaborate with AI engineers on apps using LLMs, APIs, and external data sources.
• Maintain operational docs, dashboards, alerts and runbooks.
• On-call coverage may be required in future to keep services running.

Skills

DevOps / Cloud Engineering

SRE / Production support

Cloud platforms (AWS/Azure/GCP)

CI/CD / IaC

Docker / Kubernetes

Linux fundamentals

Monitoring & observability

Python scripting

Incident management

Agile

Tools

Docker

Kubernetes

Cloud Foundry

Job description

We don't just believe in better. We make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky.

Role Overview

We are seeking a Cloud/AI Platform Operations Engineer to join our Group AI Engineering team, keeping the production AI services that Sky depends on reliable, secure and cost effective. Where the build teams take solutions from prototype to launch, you own what happens next: the platform they run on, the pipelines that deploy them, the monitoring around them, and the response when something breaks.

You do not need a background in machine learning. This is a platform and operations role at heart, and we are looking for someone who knows how to run things properly in the cloud and is curious about what changes when the workload is an AI agent.

Our estate runs primarily on AWS, so AWS experience is preferred. We will also consider strong candidates from Azure or Google Cloud who can demonstrate transferable operational depth and the appetite to get up to speed on AWS quickly.

What you’ll do

• Maintain and improve cloud infrastructure for production AI services.
• Build and support CI/CD pipelines and infrastructure as code.
• Operate containerised applications using Docker, Kubernetes, Cloud Foundry, or similar platforms.
• Monitor system health, investigate incidents, and improve reliability, covering both infrastructure signals and signals specific to AI services such as output quality, prompt and model regressions, guardrail breaches, and tool call failures.
• Act as a frontline point of contact for AI service issues, keeping stakeholders informed while incidents are triaged and resolved.
• Support Python services through log analysis, troubleshooting, and basic code changes.
• Manage access, secrets, dependencies, vulnerabilities, and security findings in line with Sky's security standards and AI governance requirements.
• Monitor infrastructure and AI service costs, attribute spend across teams and workloads, and identify efficiency improvements.
• Work with AI engineers to support applications using large language models, agents, APIs, and external data sources.
• Maintain operational documentation, dashboards, alerts, and runbooks.
• As this is a production operations role, on call cover may be required in future to keep critical services running outside core hours.

What you’ll bring

Essential criteria:

• Experience in DevOps, cloud engineering, platform engineering, SRE, or production support.
• Experience supporting production systems in a cloud environment. AWS is preferred, but equivalent depth in Azure or Google Cloud will be considered.
• Knowledge of CI/CD, source control, deployment automation, and infrastructure as code.
• Experience with Docker and exposure to Kubernetes, Cloud Foundry, or similar platforms.
• Working knowledge of Linux, networking, APIs, identity, secrets, and cloud security.
• Experience with monitoring and observability tools.
• Working knowledge of Python, with the ability to read existing code, troubleshoot applications, make straightforward changes, and write automation scripts.
• Strong communication and incident management skills, comfortable being the calm point of contact during an incident and explaining technical issues to business audiences.
• Comfortable working in an Agile delivery environment.

Desirable skills and experience:

• AWS certification, such as Solutions Architect, SysOps Administrator, or DevOps Engineer.
• Experience supporting AI, machine learning, or large language model applications.
• Familiarity with managed AI platforms and model APIs.
• Experience with Postgres or other relational databases.
• Knowledge of FinOps or cloud cost optimisation.
• Familiarity with Copilot Studio, Power Automate, or other low-code platforms.
• Experience in a large-scale or regulated enterprise environment.
• Experience operating workloads across more than one cloud provider.

Benefits and perks

• Free Sky TV or NOW package, including Sky Sports and Sky Cinema
• Pension package with up to 9% employer contribution
• Private healthcare with mental health support
• Aviva Digital GP and dental insurance
• Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect
• Sharesave and Tech schemes
• A range of Sky VIP rewards and experiences

How you'll work

We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week. The role is available in our Osterley or Livingston office.

Your office base

Livingston Watermark
Sky Watermark is our central site for Li