Integration And Application Developer

Prose on Pixels; Chennai; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Havas Creative is seeking an Integration and Application Developer to design, develop, test and support integrations across media production tech. You will focus on Adobe Workfront Fusion, App Builder, Frame.io and AEM Content Hub, while enabling AI-assisted development and secure deployment across environments.

You will build full-code integrations with JavaScript/TypeScript, Node.js, and cloud services (AWS/Azure), delivering scalable workflows and reliable production support.

Qualifications

• Enterprise app development or integration engineering experience.
• Experience with Workfront Fusion or similar orchestration tooling.
• Strong understanding of REST APIs, JSON, OAuth and webhooks.
• Proficient in JavaScript/TypeScript and Node.js.

Responsibilities

• Design and develop Workfront Fusion scenarios connecting Workfront with media platforms and services.
• Use AI-assisted coding tools to accelerate development and generate integrations.
• Build web apps and REST APIs using JavaScript/TypeScript, Node.js and cloud services.
• Ensure secure, scalable, and well-documented integrations across Adobe and non-Adobe ecosystems.
• Collaborate with architects and product teams to deliver maintainable solutions.

Skills

Enterprise app development

Integration engineering

Workflow automation

Adobe Workfront Fusion

REST APIs

JavaScript/TypeScript

Node.js

Azure & AWS

AI-assisted coding

GitHub Copilot

Tools

Adobe Workfront Fusion

Adobe App Builder

Frame.io

AEM Assets/Content Hub

Iconik

AWS

Azure Integration Services

Job description

Agency

Havas Creative

Job Description

The Integration and Application Developer designs, develops, tests, deploys and supports integrations and applications across the media production technology ecosystem. Development on the Adobe stack is a primary focus, particularly Adobe Workfront Fusion and Adobe App Builder, but the role also delivers applications and integrations outside the Adobe ecosystem where business, scale, resilience, security or maintainability requirements demand broader technologies. The role uses both low-code orchestration and AI-assisted full-code engineering and carries focused responsibility for the efficient operation of Workfront and Fusion and for controlled promotion between development, UAT and production environments.

Technology landscape

LLM / MCP GitHub Copilot JavaScript / TypeScript Node.js Web application frameworks REST APIs and event-driven services Adobe Workfront Adobe Workfront Fusion Adobe Frame.io 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

Key Responsibilities

• 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.
• Develop applications and integrations across both Adobe and non-Adobe platforms, including Frame.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

Essential

• Enterprise application development, integration engineering or workflow automation experience.
• Adobe Workfront Fusion or comparable orchestration tooling.
• Strong understanding of REST APIs, JSON, OAuth, webhooks and integration design patterns.
• 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.

Desirable