Senior Cloud Engineer

Smith Institute; England; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading data science and engineering company in the United Kingdom is seeking a Senior Cloud Engineer to lead cloud architecture and deployment of models and services. Responsibilities include designing infrastructure-as-code solutions, managing CI/CD pipelines, and collaborating with cross-disciplinary teams. Candidates should have a strong background in cloud services, particularly AWS and Azure, and excellent scripting skills in Python. Flexible working arrangements are available.

Benefits

Flexible working arrangements

Enhanced health and well-being support

Generous benefits package

Qualifications

• 3+ years of practical experience as a Cloud, DevOps, or Infrastructure Engineer.
• Hands-on with AWS and Azure services.
• Strong scripting skills required, particularly in Python.

Responsibilities

• Own the cloud architecture from prototypes to scalable deployments.
• Design and manage CI/CD pipelines supporting various tools.
• Collaborate across teams to integrate data-driven solutions.

Skills

Cloud architecture expertise

Infrastructure-as-code

CI/CD pipelines

Containerization

Scripting in Python

Git version control

Education

Bachelor's degree in a scientific or engineering discipline

Master's or doctoral preferred

Tools

AWS

Azure

Terraform

Docker

Kubernetes

Job description

Senior Cloud Engineer

Smith Institute leverages advanced mathematics, AI, and data science to help customers achieve remarkable outcomes — from balancing electricity grids to optimizing 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 delivery teams. This senior technical role reports directly to the Chief Technology Architect and involves collaboration with technical leadership across the company. It is ideal for someone who excels in cross-disciplinary teams and is motivated by transforming proofs of concept into practical, production-ready solutions.

Responsibilities

• Own the cloud architecture of production solutions across AWS and Azure, from prototypes to scalable deployments.
• Design, build, and manage infrastructure-as-code and CI/CD pipelines supporting 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 cloud deployments.
• Lead cloud architecture decisions during project scoping and reviews.
• Contribute to internal capabilities in DevOps, cloud strategy, and tooling.
• Support 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; master's or doctoral preferred.
• At least 3 years of practical experience as a Cloud, DevOps, or Infrastructure Engineer.
• Hands-on experience with cloud services, especially AWS and Azure.
• Proficiency with infrastructure-as-code tools such as Terraform.
• Experience with CI/CD pipelines and deployment automation (e.g., Azure DevOps).
• Knowledge of containerization and orchestration (Docker, Kubernetes).
• Strong scripting skills, particularly in Python.
• Experience with version control (Git), testing, and secure deployment practices.
• Experience working in cross-functional teams and mentoring peers.

Desirable Skills

• Experience with LLM and AI agent deployment, and data orchestration.
• Web or API development experience.
• Familiarity with managed data engineering and MLOps platforms.
• Client-facing or consultancy experience.

Why Work at Smith Institute?

• Flexible working arrangements — hybrid or fully remote.
• Enhanced health and well-being support — sick pay, mental health support, family leave.
• Generous benefits — discounts, life assurance, income protection, pension scheme.
• Challenging, impactful work — shaping solutions with real-world impact and depth.