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Senior AWS Application & Platform Engineer – AI / Developer Experience-Product Engineer I

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Hybrid

Senior AWS Application & Platform Engineer – AI / Developer Experience-Product Engineer I

UST

Senior AWS Application & Platform Engineer – AI / Developer Experience-Product Engineer I

Skills

DynamoDBDockerTypescriptDjangoPythonAWS LambdaGitLabJenkinsAIAWSGitHubKubernetesFastAPITerraform

5 days ago

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Important information


Contract type:

Permanent, Freelance / Contract

Location:

London, UK

Work mode:

Hybrid

Published on:

21 October 2026

What they need


Role description

Location: London (Hybrid – 3 days onsite, mandatory)

Employment Type: Permanent | Fixed-Term Contract | Contract (Inside IR35)

Start Date: Immediate/ Short Notice period

About the Role

We are seeking a Senior AWS Application & Platform Engineer to help design and build cloud-native applications, developer platforms and AI-enabled engineering capabilities from the ground up.

This is a highly hands-on engineering role combining AWS application development, serverless and event-driven architecture, Python, Generative AI, developer tooling and automation.

You will build APIs, reusable application patterns, developer accelerators and AI-enabled services that help engineering teams deliver software more efficiently, securely and consistently.

Key Responsibilities

  • Design and build cloud-native applications, APIs and platform services on AWS.
  • Develop serverless and event-driven solutions using AWS Lambda, API Gateway, Step Functions, EventBridge, SQS/SNS and related services.
  • Build AI-enabled and Generative AI solutions using Amazon Bedrock and agentic AI technologies.
  • Develop reusable application patterns, templates, quick-start solutions and developer tooling.
  • Build Python-based automation, APIs and engineering services.
  • Design and maintain CI/CD pipelines and Infrastructure as Code using technologies such as GitHub Actions, AWS CodePipeline, Terraform, CloudFormation or CDK.
  • Develop internal developer tooling and self-service capabilities that improve engineering productivity.
  • Embed security, governance, observability and automated testing into engineering solutions.
  • Apply AI-assisted development practices to improve software engineering and developer workflows.
  • Collaborate with engineering, platform, security and operations teams to deliver secure, scalable and well-documented solutions.
  • Mentor engineers and promote engineering best practices and reusable development patterns.

Essential Skills & Experience

  • Strong software engineering and application development background.
  • Extensive hands-on experience developing solutions on AWS.
  • Strong Python development experience.
  • Experience creating reusable development patterns, engineering tooling, or developer accelerators.
  • Hands-on experience with Amazon Bedrock, Generative AI or AI-native application development.
  • Exposure to agentic AI applications, AI assistants or AI-enabled engineering workflows.
  • Experience using AI coding assistants / AI-assisted development practices.
  • Strong experience with AWS serverless and event-driven technologies, particularly: AWS Lambda, API Gateway, Step Functions, EventBridge, SQS/SNS, DynamoDB, S3
  • Experience designing and building cloud-native APIs and backend services.
  • Strong CI/CD and DevOps automation experience using tools such as GitHub Actions, AWS CodePipeline/CodeBuild, GitLab CI/CD or Jenkins.
  • Strong Infrastructure as Code experience using Terraform, CloudFormation and/or AWS CDK.
  • Experience with Docker and container platforms such as ECS/EKS or Kubernetes.
  • Good understanding of API design, automated testing, observability, and secure-by-design engineering.
  • Strong stakeholder collaboration and communication skills.

Desirable Skills

  • FastAPI or Django / Python API framework experience.
  • Internal Developer Platform or Developer Experience (DevEx) engineering.
  • Experience building AI platforms or AI-enabled developer services.
  • GitOps and policy-as-code experience.
  • Amazon Q, Kiro or equivalent AI-assisted engineering tools.
  • Experience working within Financial Services or another regulated environment.
  • Knowledge of AI governance, responsible AI and auditability.

Interested? Apply for an immediate discussion with our Talent Team

#UST

Skills

AWS Bedrock, Lambda ,API Gateway ,Step Functions , EventBridge ,GitHub Actions Python ,FastAPI , TypeScript ,Agentic AI ,Developer Platforms ,CI/CD , Infrastructure as Code

About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

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