AWS DevOps Engineer
Posted Today by SmartCo Consulting
Negotiable
Undetermined
Remote
England, United Kingdom
Summary: Join SmartCo as an AWS DevOps Engineer, focusing on building and optimizing AWS-based infrastructure for AI-driven solutions within a regulated financial services environment. This hands-on role involves delivering cloud engineering and infrastructure automation as part of a GenAI transformation programme. The position requires expertise in deploying AI infrastructure pipelines and working with various AWS services and tools. Ideal candidates will have experience in large-scale enterprise environments and a passion for engineering excellence.
Key Responsibilities:
- Deliver end-to-end cloud engineering and infrastructure automation within the GenAI programme.
- Design and deploy AI infrastructure pipelines using GitLab or similar CI/CD tools.
- Implement and optimise core cloud services: networking, compute, storage, monitoring.
- Exposure to AWS Bedrock, AWS Kendra, AWS Rekognition, GCP Vertex AI, LangGraph/LangSmith, or Agentic Frameworks (MCP/A2A).
- Work with Terraform (IaC) and Python for automation/scripting.
- Operate effectively within large-scale, regulated environments, aligning with compliance and governance standards.
Key Skills:
- Experience with AWS cloud services and AI infrastructure.
- Proficiency in CI/CD tools, preferably GitLab.
- Knowledge of Terraform and Python for automation.
- Background in financial services or enterprise-scale environments.
- Ability to work within compliance and governance standards.
Salary (Rate): undetermined
City: England
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Join the SmartCo Team as an AWS DevOps Engineer
Location: UK Remote
SmartCo are currently supporting one of our leading financial services clients on their GenAI transformation programme and are looking for an experienced AWS Cloud AI Engineer to join the team. This is a hands-on engineering role focused on building and optimising AWS-based infrastructure to support AI-driven solutions within a large, regulated enterprise environment.
Key Responsibilities & Skills
- Deliver end-to-end cloud engineering and infrastructure automation within the GenAI programme.
- Design and deploy AI infrastructure pipelines — ideally using GitLab or similar CI/CD tools — to deliver AI solutions.
- Implement and optimise core cloud services: networking, compute, storage, monitoring.
- Exposure to AWS Bedrock, AWS Kendra, AWS Rekognition, GCP Vertex AI, LangGraph/LangSmith, or Agentic Frameworks (MCP/A2A).
- Work with Terraform (IaC) and Python for automation/scripting.
- Operate effectively within large-scale, regulated environments, aligning with compliance and governance standards.
- Background in financial services or enterprise-scale environments is highly desirable.
This is a great opportunity to join a fast-moving project with real-world impact, while shaping best practices and tooling with a consultancy that's passionate about engineering excellence.