Jobs / Sky
AI Platform Engineer (Cloud)
Sky · Livingston, SCT, United Kingdom
Livingston, SCT, United KingdomHybrid
Remuneration
Free TV or NOW package; pension with up to 9% employer contribution; private healthcare with mental health support; digital GP and dental insurance; product discounts; Sharesave and Tech schemes; VIP rewards and experiences.
Location
Livingston, SCT, United Kingdom
Visa sponsorship
No visa sponsorship
Sky does not offer sponsorship for this position.
Job summary
Operate and improve the cloud platforms, deployment pipelines, monitoring, and incident response that keep production AI services reliable, secure, and cost effective. The role supports Python applications and works with AI engineers running large language models, agents, APIs, and external data sources, primarily on AWS, with Azure or Google Cloud experience also relevant.
Benefits
TV or NOW packagePension with up to 9% employer contributionPrivate healthcare and mental health supportDigital GP and dental insuranceProduct discountsSharesave and Tech schemesVIP rewards and experiences
Qualifications
- Experience in DevOps, cloud engineering, platform engineering, SRE, or production support.
- Experience supporting production systems in a cloud environment; AWS preferred, with Azure or Google Cloud experience 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, including reading code, troubleshooting applications, making straightforward changes, and writing automation scripts.
- Strong communication and incident management skills, including explaining technical issues to business audiences.
- Comfort working in an Agile delivery environment.
- Desirable: experience supporting AI, machine learning, or large language model applications; familiarity with managed AI platforms, model APIs, relational databases, low-code platforms, FinOps, regulated enterprises, or multi-cloud workloads.
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 infrastructure and AI service reliability.
- Act as a frontline contact for AI service issues and keep stakeholders informed during incident response.
- Support Python services through log analysis, troubleshooting, code changes, and automation.
- Manage access, secrets, dependencies, vulnerabilities, and security findings.
- Track and attribute infrastructure and AI service costs and identify efficiency improvements.
- Support AI applications using models, agents, APIs, and external data sources.
- Maintain operational documentation, dashboards, alerts, and runbooks.
Skills
AWSAzureDockerGCPKubernetesLinuxPostgreSQLPython
Certifications
AWS certification, such as Solutions Architect, SysOps Administrator, or DevOps
Languages
Python
Work schedule
On-call coverage may be required in future, including outside core hours.
Industry
Media and entertainment
Relocation
No