About this role
Salary: £100,000 - 120,000 per year
Requirements: Strong hands-on experience with AWSExcellent knowledge of Terraform; CloudFormation consideredProven experience building event-driven architecturesStrong hands-on experience with Kafka; Confluent experience beneficialStrong Python development skillsExperience building cloud-native platforms and distributed systemsExperience deploying and supporting applications across multiple environmentsStrong debugging and problem-solving skillsExperience with EKS, Lambda, Fargate, DynamoDB, or similar AWS services is a plusExperience with observability, monitoring, and platform automation is a plusKnowledge of CI/CD pipelines and DevOps practices is a plusExperience improving developer experience and internal engineering platforms is a plus Responsibilities: Build, deploy, and maintain cloud-native platform components on AWSDevelop infrastructure using TerraformDesign and implement event-driven architectures using KafkaDevelop automation, platform tooling, and services using PythonDeploy code through multiple environments and support platform deliveryBuild scalable, resilient, secure, and observable platform servicesTroubleshoot complex distributed systems and production issuesImprove developer experience through automation, self-service tooling, and platform enhancementsCollaborate closely with engineering teams to deliver reliable platform capabilitiesContribute to platform engineering best practices and continuous improvement Technologies: AWSLambdaCI/CDCloudDevOpsSupportKafkaPythonTerraformArchitect More:
We are building a modern, cloud-native data platform on AWS and are looking for a Senior Data Platform Engineer to join our team. This is a highly hands-on engineering role focused on designing, building, deploying, and troubleshooting platform components, rather than producing architecture documentation or leading governance activities. You will work alongside experienced engineers to build the platform foundation that supports data products across the business. The role is based in London, with 2–3 days per week in the office.
last updated 29 week of 2026