4 of 4 Remote/Hybrid AWS CloudFormation Jobs in the City of London

Splunk, Datadog, PagerDuty, or Rundeck Experience using configuration management platforms like Ansible, Puppet, or Chef Professional certifications in cloud DevOps, such as AWS Certified DevOps Engineer or Google Cloud Professional DevOps Engineer, or similar credentials Do You Have What It Takes? 3-6 years of hands-on experience … programming language such as Python, Go, Java, or C#, along with scripting skills in Bash or PowerShell Solid grasp of cloud platforms like AWS, including an understanding of how core services like EC2, ECS, Lambda, and DynamoDB operate under reliability constraints Practical experience using infrastructure-as-code tools ...

about developing your career, while helping others along the way, come join the Broadridge team. We are excited to announce an opportunity for AWS Cloud DevOps Engineer to join our organization as part of our AI Enablement Team. In this role, you will play a crucial role … track progress Qualifications & Skills Over all 5-8 years in cloud application development/Administration with at least 4 years of experience in AWS & Terraform, Jenkins, Cloudformation or any other IAAC. Proven Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer ...

work and reside in the UK About the Role You will spend the majority of your time in code and in the AWS console: building contact flows and AI agents, writing Lambda functions and CDK stacks, developing React-based agent and admin tooling, and debugging production issues … accessibility scanning, and support for VPAT/Section 508 documentation on government and enterprise engagements Infrastructure, Delivery & Quality Author infrastructure as code with AWS CDK (TypeScript) as the primary tool and CloudFormation or Terraform where customer environments require them Build and maintain CI/CD pipelines ...

delivering next-generation AI and data solutions that transform how global organisations operate: Lead the design of AI-enabled data platforms using AWS, Azure, and GCP, building scalable and self-optimising architectures Shape and deliver AI strategy and transformation roadmaps, enabling enterprise-wide adoption of GenAI, copilots … workflows, LLM-based applications, and decision intelligence platforms Drive automation through DevOps practices, CI/CD pipelines, and Infrastructure-as-Code (Terraform, CloudFormation) Develop enterprise data and AI architecture blueprints aligned with frameworks such as TOGAF and DAMA Engage with senior stakeholders and translate complex AI concepts into ...