AI Platform Engineer (Cloud)

United States Digital Space LLC; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Pension

Private healthcare

Digital GP

Product discounts

Sharesave

VIP rewards

Job summary

Sky seeks a Cloud/AI Platform Operations Engineer to join our Group AI Engineering team, owning the platform for production AI services, deploying pipelines, and maintaining monitoring and incident response. You will run the cloud platform, manage cost, and ensure security and reliability.

The role emphasizes cloud operations with AWS as the primary platform, but Azure or Google Cloud experience is also welcome. Hybrid work with two office days per week at Osterley or Livingston.

Qualifications

• Experience in DevOps, cloud engineering, platform engineering, SRE or production support.
• Experience supporting production systems in a cloud environment, AWS preferred, Azure or Google Cloud also 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 ability to read code, troubleshoot, and write automation scripts.
• Strong communication and incident management skills, able to calmly explain technical issues to non-technical audiences.
• Comfortable working 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 both infrastructure and AI service signals.
• Act as frontline contact for AI service issues, updating stakeholders during triage and resolution.
• Support Python services through log analysis, troubleshooting, and basic code changes.
• Manage access, secrets, dependencies, vulnerabilities, and security findings per governance standards.
• Monitor infrastructure and AI service costs, identify efficiency improvements.
• Collaborate with AI engineers to support apps using LLMs, agents, APIs, and external data sources.
• Maintain operational docs, dashboards, alerts, and runbooks.
• On-call coverage may be required in future to keep critical services running outside core hours.

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 the company is about building the next and the new. From broadband to broadcast, streaming to mobile, the company Stream to the company 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 the company.

Role/Team overview

We are seeking a Cloud/AI Platform Operations Engineer to join our Group AI Engineering team, keeping the production AI services that the company 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 the company'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.

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

  Osterley

  Our the company Group HQ. Equipped with state-of-the-art technology and workspaces, there’s plenty of space to see your big ideas come to life. Here you’ll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon.

  Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there’s free onsite parking available for cars, motorbikes and bicycles.

  Livingston Watermark

  the company Watermark is our central site for Livingston, sitting between Glasgow and Edinburgh. With vibrant office spaces, chill-out areas, and an onsite canteen, it’s a great place to work and connect.

  The nearest train station is Livingston North. A the company shuttle bus runs between the station and campus every 20 minutes throughout the day. Plus, there’s onsite parking available for cars, motorbikes and bicycles.

  Who we are

  We’re the company, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you’ll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society.

  We’re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can.

  *Just so you know: if your application is successful,* *we’ll* *ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.*

  *To be eligible for this role you* *are required to* *have the* *appropriate right* *to work in the UK. Please be aware the company does not offer sponsorship for this position.*

  To find out more about working with us, search #LifeAtSky on social media.