Technology landscape:

LLM / MCP

JavaScript / TypeScript

Node.js

Web application frameworks

REST APIs and event-driven services

Adobe Workfront

Adobe Workfront Fusion

Adobe Frame.Adobe App Builder

Adobe Experience Manager Assets / Content Hub

AWS

Azure Integration Services

Adobe Firefly Services

Iconik Media Asset Management

Other cloud and enterprise platforms

Design and develop Adobe Workfront Fusion scenarios connecting Workfront with media production platforms and enterprise services, using AI-generated Fusion blueprints and workflow designs to accelerate delivery.

Use GitHub Copilot, LLMs and MCP-enabled tools as core development accelerators to generate Fusion scenarios, API integrations, technical documentation, test cases and production-ready source code.

Build full-code integrations and business applications using JavaScript/TypeScript, Node.js, appropriate web application frameworks, Adobe App Builder, AWS, Azure Integration Services and other suitable cloud or enterprise technologies, leveraging AI-assisted code generation whilst maintaining engineering quality standards.

io, AEM Assets / Content Hub, Adobe Firefly Services, Iconik, enterprise systems and third-party services.

Design and implement secure, maintainable web applications, REST APIs, event-driven integrations, webhook architectures and data-processing workflows using appropriate authentication, mapping, retries, rate-limit management, idempotency and recoverable error handling.

Evaluate, refine and validate AI-generated solutions, AI-generated code and AI-generated workflows through testing, peer review, security controls and operational verification before deployment across Adobe and non-Adobe environments.

Monitor and support applications and integrations, including Fusion executions, schedules, webhooks, queues, data stores, application services, APIs and failure patterns,



restoring service and implementing permanent fixes.

Help ensure the efficient, stable and secure operation of Workfront, Fusion and the applications and integration services delivered by the role across Development, UAT and Production environments.

Own the technical preparation and execution of approved promotions between environments, including dependency analysis, release evidence, rollback planning and post-release validation.

Maintain source control, technical specifications, integration documentation, configuration records, test evidence, release notes, runbooks and support procedures.

Collaborate with architects, product owners, UX specialists, QA, support teams, security teams and platform owners to design and deliver usable, maintainable applications and integrations and to resolve incidents.

Continuously improve reusable application and integration patterns, AI development workflows, prompt engineering practices, platform performance and developer productivity through effective use of AI-assisted engineering.

Experience and capabilities

Enterprise application development, integration engineering or workflow automation experience.

Strong JavaScript/TypeScript and Node.js development experience, including building and supporting production applications and services.

Strong expertise in the Azure and AWS ecosystems, including designing, developing, deploying and supporting cloud-native applications and integrations using appropriate Azure/AWS services.





Demonstrable experience and confidence in the emerging AI-driven technology ecosystem and associated architectures, including AI-assisted coding and development practices.

Practical experience using GitHub Copilot, AI coding assistants, LLMs and MCP-enabled development workflows to accelerate software delivery, with the ability to evaluate and improve AI-generated outputs.

Experience with Git, automated and manual testing, troubleshooting, CI/CD and structured release practices.

Clear technical documentation skills and ownership of production support responsibilities for applications and integrations.

Adobe Workfront administration and setting promotion.

Strong expertise in the AWS ecosystem, including relevant application, integration, serverless, API, security and monitoring services; experience with Azure Integration Services or comparable cloud services is also desirable.

io, AEM Assets / Content Hub, Adobe Firefly Services.

DAM/MAM, content supply chain or media production technology experience.

Web application frameworks, monitoring, CI/CD, observability, security controls and release automation.

Experience building agentic AI workflows, MCP integrations or AI-powered development solutions.

Consistent and controlled environment promotion processes.

Increased adoption of version-controlled, peer-reviewed and reusable application and integration solutions across Adobe and non-Adobe technology stacks.

Demonstrable use of GitHub Copilot, LLMs, MCP services and AI-assisted engineering to accelerate delivery of Fusion scenarios, API integrations, applications and software solutions.

Measurable improvements in developer productivity, automation and delivery speed across application and integration development without compromising security, testing, user experience, operational resilience or accountability.

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