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Senior cloud engineer

Oxford
Smith Institute
Cloud engineer
Posted: 6h ago
Offer description

Join to apply for the Senior Cloud Engineer role at Smith Institute

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Join to apply for the Senior Cloud Engineer role at Smith Institute

Smith Institute uses advanced mathematics, AI, and data science to help customers do remarkable things – from balancing the electricity grid to optimising satellite communications and safeguarding multi-billion-pound 5G spectrum auctions.

We are seeking a Senior Cloud Engineer to lead the deployment and architecture of our models and services in cloud environments, enabling our wider delivery teams. This is a senior technical role, directly reporting to the Chief Technology Architect and collaborating with technical leadership across the company. It is ideal for someone who thrives in cross-disciplinary teams and is motivated by shaping proofs of concept into practical, production-ready solutions.

Responsibilities


* Own the cloud architecture of production solutions across AWS and Azure, from early-stage prototypes to robust, scalable deployments.
* Design, build and manage infrastructure-as-code and CI/CD pipelines to support data engineering, ML/AI model delivery, web interfaces, and internal tools.
* Collaborate with engineers, scientists and consultants to integrate data-driven solutions into cloud services.
* Influence security, cost-efficiency, scalability, and monitoring standards across our cloud-based deployments.
* Lead cloud architecture decisions in project scoping and architecture reviews.
* Contribute to internal capability building in DevOps, cloud strategy, and tooling.
* Support use and deployment of the latest data and AI tools, including LLMs and agentic AI.

Required Qualifications And Experience

* Bachelor’s degree in a scientific or engineering discipline, with master’s or doctoral-level study preferred.
* 3+ years of practical experience as a Cloud, DevOps, or Infrastructure Engineer.
* Deep hands-on experience with cloud services, including AWS and Azure.
* Infrastructure-as-code tooling (e.g. Terraform).
* CI/CD pipelines and deployment automation (e.g. Azure DevOps).
* Containerisation and orchestration (Docker, Kubernetes).
* Strong scripting and workflow automation skills (especially in Python).
* Version control (Git), testing, and secure deployment practices.
* Experience collaborating in cross-functional teams and mentoring peers.

Desirable Skills

* Exposure to LLM and AI agent deployment, and supporting data orchestration.
* Web development or API development tooling.
* Familiarity with managed data engineering and/or MLOps platforms.
* Experience in client-facing environments or consultancy.

Why Work at Smith Institute?

* Flexible working – Work your contracted hours in the way that suits you and our clients, hybrid or fully remote.
* Health and well-being – Enhanced sick pay, mental health first aiders, and family support leave.
* Generous benefits – Employee discounts, life assurance, income protection, and a leading pension scheme.
* Challenging, purposeful work – Help shape solutions that have real-world impact and technical depth.


Seniority level

* Seniority level

Mid-Senior level


Employment type

* Employment type

Other


Job function

* Job function

Engineering and Information Technology
* Industries

Business Consulting and Services

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