React/Full Stack UI Engineer
📍 Job Overview
Job Title: React / Full Stack UI Engineer – Automation & GenAI Solutions
Company: Adobe
Location: Noida, Uttar Pradesh, India
Job Type: Full-Time
Category: Software Engineering / Web Development (with a focus on Operations & Automation)
Date Posted: May 22, 2026
Experience Level: 5-10 Years
Remote Status: On-site
🚀 Role Summary
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Drive the development of scalable automation solutions and internal tools to enhance global content authoring and publishing workflows for adobe.com.
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Leverage Generative AI (GenAI) to build intelligent systems for content auditing, workflow automation, and data-driven insights, directly impacting web operations efficiency.
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Design, develop, and deploy end-to-end MERN-based applications and automation platforms, utilizing modern web frameworks and cloud-native technologies.
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Collaborate closely with AEM, Edge Delivery Services, and Web Production teams to integrate advanced web production requirements into new platform capabilities and ensure seamless global digital experience delivery.
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Play a key role in architectural discussions and agile development processes, contributing to the definition and implementation of robust, scalable automation strategies.
📝 Enhancement Note: While titled "React/Full Stack UI Engineer," the core responsibilities and emphasis on automation, workflow optimization, and integration with content management systems (AEM, Edge Delivery Services) position this role as a critical contributor to the operational efficiency of Adobe's global web presence. The inclusion of GenAI further elevates its strategic importance in modernizing web production operations. This role bridges front-end UI development with back-end automation and operational tooling.
📈 Primary Responsibilities
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Lead the design and development of automation platforms and internal tools using React, Node.js, and modern web frameworks to streamline content authoring and publishing processes.
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Build scalable MERN-based applications and deploy them efficiently using Docker and cloud-native deployment pipelines, ensuring high availability and performance for global operations.
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Develop and implement GenAI-powered solutions to assist with content auditing, automate complex production workflows, provide intelligent insights, and drive overall efficiency improvements.
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Collaborate with Adobe Experience Manager (AEM) and Edge Delivery Services teams to ensure seamless integration of web production requirements into new platform capabilities and existing systems.
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Automate data-driven workflows by integrating with enterprise systems and APIs, including Microsoft Graph API, SharePoint API, and other relevant services.
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Develop and maintain reusable components, utilities, and automation frameworks to enhance development velocity and ensure consistency across operational tooling.
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Troubleshoot and resolve complex issues related to AEM, Edge Delivery Services (Franklin/Helix), and web automation systems, ensuring minimal disruption to web production.
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Actively participate in architecture discussions, sprint planning, and Jira story grooming sessions to define and refine scalable automation strategies for global web operations.
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Write comprehensive unit tests and engage in rigorous code reviews to uphold high engineering quality and maintainability of automation solutions.
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Create and maintain detailed documentation for automation frameworks, internal tools, and system architectures to facilitate knowledge sharing and streamline onboarding.
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Collaborate effectively with multi-functional teams, including international project leads and web production stakeholders, to ensure operational perspectives are integrated into engineering initiatives for adobe.com.
📝 Enhancement Note: The responsibilities highlight a strong focus on building operational tools and automation, rather than traditional customer-facing UI development. The emphasis on MERN stack, Docker, cloud-native pipelines, and integration with enterprise APIs points towards building robust, scalable backend services that support operational functions. The inclusion of GenAI indicates a forward-thinking approach to automating complex business processes.
🎓 Skills & Qualifications
Education:
Experience:
- 5+ years of hands-on experience in building modern web applications, with a significant portion focused on full-stack development and automation.
Required Skills:
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Frontend Expertise: Strong proficiency in React, JavaScript (ES6+), HTML5, CSS3, Bootstrap, jQuery, JSON, XML, AJAX, and Object-Oriented JavaScript.
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Backend Development: Extensive experience with Node.js and modern JavaScript frameworks for building full-stack applications.
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Application Architecture: Demonstrated ability to build applications from scratch, encompassing architecture design, development, and deployment.
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Automation & Workflow: Experience in designing and building automation tools and scalable engineering solutions for operational workflows.
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Containerization: Experience working with Docker or other containerized deployment environments.
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Version Control: Proficiency with Git-based development workflows.
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Agile Methodologies: Understanding and experience working with Agile development practices, including Scrum and Kanban.
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Problem-Solving: Strong experience in diagnosing and resolving complex JavaScript, CSS, and performance issues.
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Soft Skills: Ability to work independently, take initiative, understand enterprise-scale workflows, and communicate effectively across global teams.
Preferred Skills:
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Generative AI (GenAI): Experience with GenAI or AI-assisted development, including integrating AI APIs or building AI-assisted workflow solutions.
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Enterprise APIs: Experience with Microsoft Graph API and SharePoint API.
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Databases: Experience with databases such as PostgreSQL, MongoDB, Elasticsearch, or Solr, including schema design and performance optimization.
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CMS Platforms: Experience with Content Management Systems (CMS) like Adobe Experience Manager (AEM).
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CI/CD: Familiarity with Continuous Integration/Continuous Deployment (CI/CD) practices and tools.
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Cloud-Native: Experience with cloud-native deployment pipelines and technologies.
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Framework Design: Ability to design reusable utilities and frameworks, demonstrating a preference for building custom solutions over heavy reliance on third-party libraries.
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Adobe Products: Knowledge of Adobe products and services is considered an advantage.
📝 Enhancement Note: The requirements strongly emphasize full-stack capabilities with a bias towards Node.js and React for building operational tools. The inclusion of GenAI, AEM, and enterprise APIs points towards a role that integrates advanced technologies into established web production workflows, requiring a blend of development and operational understanding. The "5+ years" experience level aligns with the complexity of designing and deploying scalable automation solutions.
📊 Process & Systems Portfolio Requirements
Portfolio Essentials:
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Automation Case Studies: Showcase projects where you designed and implemented automation tools or workflows that significantly improved efficiency, reduced manual effort, or accelerated processes. Quantify the impact whenever possible (e.g., time saved, error reduction percentage).
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Full-Stack Application Examples: Provide examples of end-to-end applications you've built, demonstrating your ability to handle both front-end (React) and back-end (Node.js) development, database integration, and deployment.
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System Architecture Designs: Include diagrams or descriptions of system architectures you've designed, particularly for scalable applications or automation platforms, highlighting your understanding of MERN stack, Docker, and cloud-native principles.
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GenAI Integration Examples: If applicable, present projects where you've integrated GenAI APIs or built AI-assisted solutions, showcasing your understanding of its application in solving business problems.
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API Integration Projects: Highlight projects that involved integrating with enterprise APIs like Microsoft Graph or SharePoint, demonstrating your ability to work with external systems and data sources.
Process Documentation:
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Workflow Optimization Documentation: Include examples of how you've documented existing workflows, identified bottlenecks, and proposed or implemented optimized processes using technology.
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Technical Design Documents: Provide samples of technical design documents for features or systems you've developed, demonstrating your ability to articulate technical solutions clearly.
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Process Improvement Case Studies: Prepare detailed case studies that walk through a specific process improvement initiative, from problem identification and solution design to implementation, testing, and measurable outcomes.
📝 Enhancement Note: For a role focused on automation and operational efficiency, a portfolio is crucial. Candidates should highlight projects demonstrating their ability to build robust, scalable systems and automate complex workflows. The emphasis on GenAI and enterprise API integration suggests a need for practical examples of how these technologies can solve real-world operational challenges. Quantifiable results demonstrating efficiency gains are paramount.
💵 Compensation & Benefits
Salary Range:
Benefits:
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Comprehensive Health Insurance: Medical, dental, and vision coverage for employees and eligible dependents.
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Retirement Savings Plans: Including provident fund contributions and potentially other long-term savings schemes.
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Paid Time Off: Generous vacation days, sick leave, and public holidays.
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Professional Development: Opportunities for training, certifications, workshops, and conferences to enhance skills in React, Node.js, GenAI, and cloud technologies.
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Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional well-being.
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Stock Purchase Plan: Opportunity to purchase Adobe stock at a discounted rate.
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Wellness Programs: Initiatives focused on physical and mental well-being, such as gym memberships or wellness stipends.
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Global Collaboration Opportunities: Exposure to international teams and projects, fostering a diverse and inclusive work environment.
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Employee Discounts: On Adobe products and services.
Working Hours:
- Standard full-time working hours are typically 40 hours per week, with flexibility often provided. Core business hours in India are generally aligned with local time (Asia/Kolkata). The role requires collaboration with global teams, which may occasionally necessitate adjusted working hours for cross-functional meetings.
📝 Enhancement Note: Salary ranges for senior engineering roles in major Indian tech hubs like Noida are typically competitive. The provided range is an estimate based on industry benchmarks for full-stack developers with specialized skills in automation and emerging technologies like GenAI. Adobe, as a major tech company, is expected to offer a comprehensive benefits package aligning with industry standards in India.
🎯 Team & Company Context
🏢 Company Culture
Industry: Software & Technology, Digital Media, Creative Tools, Enterprise Software. Adobe operates at the intersection of creativity, marketing, and digital experiences, providing a broad spectrum of software solutions.
Company Size: Over 30,000 employees globally. This indicates a large, established organization with structured processes, ample resources, and diverse career opportunities.
Founded: 1982. With a long history, Adobe has a mature culture, deep expertise in its domains, and a proven track record of innovation and adaptation.
Team Structure:
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Operations & Web Production Focus: The role is embedded within a team focused on supporting and automating the operations of adobe.com, a critical global web presence.
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Cross-Functional Collaboration: This role will work closely with AEM (Adobe Experience Manager), Edge Delivery Services (a modern web platform), and dedicated Web Production teams. Collaboration will also extend to international project leads.
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Engineering-Led Initiatives: The team likely comprises skilled engineers and developers responsible for building and maintaining the infrastructure and tools that power Adobe's digital experiences.
Methodology:
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Agile Development: The team follows modern development practices, likely including Agile methodologies like Scrum or Kanban, with regular sprint planning and Jira story grooming.
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CI/CD & Automation: Emphasis on efficient delivery through Continuous Integration/Continuous Deployment pipelines and a strong focus on automating repetitive tasks and workflows.
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Data-Driven Decisions: While not explicitly stated for this role's team, Adobe as a whole is data-driven. This role's focus on analytics and GenAI suggests a data-centric approach to improving operations.
Company Website: https://www.adobe.com/
📝 Enhancement Note: Adobe's culture is known for fostering creativity and innovation. For this operations-focused engineering role, it means contributing to cutting-edge solutions that impact a massive digital platform. The company size suggests opportunities for mentorship and learning from experienced professionals across various domains.
📈 Career & Growth Analysis
Operations Career Level: This position is classified as a mid-to-senior level engineering role (5-10 years of experience). It requires not only strong technical execution but also the ability to design scalable solutions, contribute to architecture, and drive automation initiatives that impact operational efficiency.
Reporting Structure: The role will likely report to an Engineering Manager or a Lead Engineer responsible for web operations, automation, or platform engineering. Collaboration will be extensive with cross-functional teams and stakeholders.
Operations Impact: The work directly influences the efficiency and scalability of adobe.com, a critical global platform. By developing automation and GenAI solutions, this role will contribute to faster content publishing, reduced operational costs, improved content quality, and enhanced user experiences worldwide. Success in this role can significantly impact Adobe's ability to manage its vast digital footprint effectively.
Growth Opportunities:
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Technical Specialization: Deepen expertise in React, Node.js, MERN stack, cloud-native technologies, and particularly in Generative AI applications for automation.
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Platform Engineering: Grow into roles focused on building and scaling core platforms and infrastructure that power large web properties.
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Automation & AI Leadership: Progress towards leading automation initiatives, architecting complex AI-driven solutions, or managing teams focused on operational efficiency.
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Cross-Functional Expertise: Gain deep understanding and experience with AEM, Edge Delivery Services, and global web production workflows, becoming a subject matter expert.
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Architectural Design: Develop skills in designing complex, distributed systems and large-scale automation frameworks.
📝 Enhancement Note: This role offers a strong path for engineers who want to specialize in building operational tools and leveraging advanced technologies like AI to solve business challenges. The growth potential is significant, moving from execution to design, architecture, and potentially leadership within Adobe's extensive engineering organization.
🌐 Work Environment
Office Type: On-site. The role is based in Adobe's Noida, India office, indicating a traditional office environment designed for collaboration and focused work.
Office Location(s): Noida, Uttar Pradesh, India. This location is a major hub for technology and IT services in India, offering access to talent and infrastructure.
Workspace Context:
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Collaborative Hub: The office environment likely facilitates in-person collaboration, team meetings, and knowledge sharing sessions, which are crucial for complex engineering projects.
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Technology Access: Employees will have access to the necessary hardware, software, and IT support to perform their roles effectively, including development tools and cloud resources.
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Team Interaction: Regular opportunities to interact with fellow engineers, product managers, and web production specialists, fostering a dynamic and communicative work atmosphere.
Work Schedule:
- Standard full-time hours (typically 40 hours/week) are expected. While the role is on-site, Adobe often promotes a culture that balances productivity with employee well-being, potentially offering some flexibility within core business hours. However, the primary expectation is presence in the Noida office.
📝 Enhancement Note: The on-site requirement suggests a preference for collaborative team dynamics and direct interaction, which can be beneficial for complex problem-solving and knowledge transfer in a large organization like Adobe.
📄 Application & Portfolio Review Process
Interview Process:
- Initial Screening: A recruiter or hiring manager will review your application and resume, focusing on relevant experience in React,
Node.js, full-stack development, and automation.
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Technical Interview(s): Expect one or more rounds of technical interviews. These will likely include:
- Coding Challenges: Live coding exercises focusing on JavaScript, React, and potentially Node.js algorithms or data structure problems.
- System Design: Discussions or whiteboard exercises on designing scalable applications, automation workflows, or MERN stack architectures.
- Behavioral Questions: Assessing your problem-solving approach, collaboration skills, initiative, and ability to work in a fast-paced, global environment.
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Portfolio Review: You will likely be asked to present or discuss specific projects from your portfolio, especially those demonstrating automation, GenAI integration, or complex full-stack applications.
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Hiring Manager Interview: A final interview with the hiring manager to assess cultural fit, discuss career aspirations, and confirm alignment with the role's strategic objectives.
Portfolio Review Tips:
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Quantify Impact: For each project, clearly articulate the problem you solved, your role, the technologies used, and the quantifiable business impact (e.g., X% reduction in processing time, Y% increase in user adoption, Z dollars saved).
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Showcase Automation: Prioritize projects that demonstrate your ability to build automation tools, optimize workflows, or create systems that enhance operational efficiency.
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Highlight Full-Stack Capabilities: Present examples that clearly show your end-to-end development skills, from UI implementation to backend logic, database management, and deployment.
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Explain Architecture: Be prepared to walk through the architectural decisions made for your projects, explaining why specific technologies or patterns were chosen.
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GenAI & API Examples: If you have relevant experience, showcase how you've applied GenAI or integrated enterprise APIs to solve challenges.
Challenge Preparation:
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Data Structures & Algorithms: Brush up on common algorithms and data structures, as these are frequently tested in coding interviews.
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React & Node.js Fundamentals: Review core concepts, lifecycle methods, state management, asynchronous programming, and common Node.js modules.
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System Design Principles: Understand concepts like scalability, availability, fault tolerance, and microservices architecture. Practice designing systems for common scenarios.
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Automation Concepts: Be ready to discuss how you would approach automating specific tasks or workflows relevant to web production and content management.
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Company Research: Understand Adobe's products, mission, and recent innovations, especially in areas like GenAI and web experience management.
📝 Enhancement Note: Given the role's focus on automation and GenAI for operational efficiency, interviewers will be keen to see practical examples of how candidates have applied these skills to solve business problems. A well-curated portfolio that demonstrates quantifiable results and technical depth will be a significant advantage.
🛠 Tools & Technology Stack
Primary Tools:
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Frontend Framework: React (Extensive experience required)
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Backend Runtime: Node.js (Extensive experience required)
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Databases: PostgreSQL, MongoDB, Elasticsearch, Solr (Experience with at least one, schema design and optimization)
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Containerization: Docker (Experience with building and deploying containerized applications)
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Version Control: Git (Expert proficiency)
Analytics & Reporting:
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Web Analytics Platforms: Potentially Google Analytics, Adobe Analytics (familiarity is beneficial).
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Dashboarding Tools: Tools for visualizing data and performance metrics (e.g., Tableau, Power BI, or custom dashboards).
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Logging & Monitoring: Tools for tracking application performance and identifying issues.
CRM & Automation:
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Content Management Systems (CMS): Adobe Experience Manager (AEM), Edge Delivery Services (Helix/Franklin) (Strong advantage/familiarity)
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API Integrations: Microsoft Graph API, SharePoint API (Experience is a plus)
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CI/CD Tools: Jenkins, GitLab CI, GitHub Actions, or similar for automated builds and deployments.
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Cloud Platforms: Experience with cloud-native deployment pipelines, likely on AWS, Azure, or GCP.
📝 Enhancement Note: The technology stack is heavily focused on modern web development and operational tooling. Proficiency in React and Node.js is paramount, with strong emphasis on building scalable applications and automating workflows. Experience with containerization (Docker) and version control (Git) is standard. Familiarity with AEM and enterprise APIs like Microsoft Graph will be highly advantageous for integrating with existing Adobe systems.
👥 Team Culture & Values
Operations Values:
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Efficiency and Optimization: A strong drive to improve processes, reduce manual effort, and increase the speed and accuracy of web production workflows.
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Innovation and Automation: Embracing new technologies, particularly GenAI, to find novel solutions for operational challenges and automate complex tasks.
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Scalability and Reliability: Building robust systems and tools that can handle the demands of a global website with high availability and performance.
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Collaboration and Communication: Working effectively across diverse, global teams to ensure alignment and successful implementation of solutions.
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Data-Driven Approach: Utilizing data and insights to inform decisions, measure impact, and continuously improve operational processes.
Collaboration Style:
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Cross-Functional Integration: Actively engaging with AEM, Edge Delivery Services, and Web Production teams to understand their needs and integrate solutions seamlessly.
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Agile Teamwork: Participating in daily stand-ups, sprint reviews, and retrospectives, providing and receiving constructive feedback.
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Knowledge Sharing: Contributing to documentation, participating in code reviews, and sharing best practices within the engineering team.
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Proactive Problem-Solving: Identifying potential issues or areas for improvement and proactively proposing solutions in collaboration with stakeholders.
📝 Enhancement Note: Adobe's culture values creativity and innovation. For this role, these values translate into finding smart, efficient, and often automated ways to manage a massive digital presence. The emphasis will be on building solutions that are not only technically sound but also significantly improve operational workflows.
⚡ Challenges & Growth Opportunities
Challenges:
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Integrating GenAI into Existing Workflows: Developing practical, scalable, and ethical GenAI solutions that genuinely enhance content auditing, production, and decision-making for a global web platform.
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Managing Scale and Complexity: Ensuring automation solutions are robust enough to handle the vast scale and complexity of adobe.com across multiple geographies and languages.
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Balancing Innovation with Stability: Introducing new technologies and automation while maintaining the stability and performance of critical web production systems.
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Cross-Functional Alignment: Effectively collaborating with diverse teams (e.g., AEM specialists, web producers, international leads) who may have different priorities and technical backgrounds.
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Keeping Pace with Technology: Continuously learning and adapting to rapidly evolving technologies in front-end development, backend automation, and AI.
Learning & Development Opportunities:
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Advanced GenAI Training: Access to resources and training to deepen expertise in Generative AI applications for enterprise use cases.
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Cloud and DevOps Specialization: Opportunities to enhance skills in cloud-native architectures, CI/CD pipelines, and container orchestration.
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AEM & Web Platform Expertise: Gaining in-depth knowledge of Adobe's core web technologies, becoming a subject matter expert in their operational aspects.
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Leadership Development: Potential to move into technical lead or management roles overseeing automation and platform engineering initiatives.
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Industry Conferences & Certifications: Support for attending relevant tech conferences and obtaining certifications in areas like cloud computing, AI, or specific development frameworks.
📝 Enhancement Note: This role presents a unique opportunity to work at the forefront of web production automation, leveraging cutting-edge AI technologies within a large, established organization. The challenges are significant but come with substantial growth potential for ambitious engineers.
💡 Interview Preparation
Strategy Questions:
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Automation Strategy: "Describe how you would approach automating a complex, multi-step content publishing workflow for a global website. What key considerations would you prioritize?" (Focus on process mapping, technology selection, phased implementation, and ROI.)
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GenAI Application: "Imagine you need to improve content quality auditing for adobe.com using GenAI. What specific use cases would you explore, and what are the potential challenges and benefits?" (Discuss content validation, style guide adherence, accessibility checks, and ethical considerations.)
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Scalability Design: "How would you design a scalable backend service using Node.js and MongoDB to handle millions of requests for content metadata updates across different regions?" (Focus on database sharding, caching strategies, API design, and load balancing.)
Company & Culture Questions:
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Adobe's Mission: "How does your interest in automation and GenAI align with Adobe's mission to empower everyone to create?" (Connect your skills to enabling creativity and efficiency for Adobe's digital experiences.)
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Team Collaboration: "Describe a time you had to collaborate with a team whose technical background or priorities differed significantly from yours. How did you achieve alignment?" (Highlight communication, empathy, and finding common ground.)
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Operational Impact: "How do you measure the success of an automation project? What metrics would you track to demonstrate its value to the business?" (Focus on metrics like time saved, error reduction, cost savings, throughput increase, and user satisfaction.)
Portfolio Presentation Strategy:
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Problem-Solution-Result Framework: For each project, clearly outline the problem, the solution you designed and implemented, and the measurable results achieved.
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Technical Deep Dive: Be prepared to discuss the architectural decisions, technology choices, and specific implementation details of your projects.
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Focus on Automation & Efficiency: Highlight projects that directly demonstrate your ability to automate processes or improve operational efficiency.
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GenAI & API Showcase: If applicable, dedicate time to explain your GenAI or API integration projects, emphasizing the business value they delivered.
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Conciseness and Clarity: Present your work in a clear, concise, and engaging manner, tailoring the level of detail to your audience.
📝 Enhancement Note: Interview preparation should focus on demonstrating not just technical proficiency but also strategic thinking regarding automation and GenAI's impact on business operations. Quantifiable achievements and a clear understanding of how your work contributes to Adobe's broader goals will be key.
📌 Application Steps
To apply for this React / Full Stack UI Engineer position:
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Submit your application through the official Adobe Careers portal via the provided link. Ensure your resume is up-to-date and highlights your experience with React, Node.js, full-stack development, automation, and any GenAI-related projects.
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Portfolio Customization: Review your portfolio to select 2-3 strong projects that best showcase your experience in building scalable applications, automating workflows, and ideally, integrating GenAI or enterprise APIs. Prepare to discuss these projects in detail, focusing on quantifiable outcomes and your specific contributions.
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Resume Optimization: Tailor your resume to emphasize keywords from the job description, such as "React," "Node.js," "MERN Stack," "Automation," "GenAI," "Docker," "CI/CD," and "API Integration." Use action verbs and quantify your achievements whenever possible.
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Technical Practice: Brush up on JavaScript, React, Node.js fundamentals, common data structures and algorithms, and system design concepts. Practice coding challenges and be ready to articulate your thought process clearly.
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Company Research: Familiarize yourself with Adobe's products, mission, values, and recent news, particularly concerning their investments in AI and digital experience platforms. Understand how this role contributes to Adobe's overall strategy.
⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.
Application Requirements
Requires a degree in Engineering or Computer Applications with over 5 years of experience in modern web application development. Proficiency in the MERN stack, cloud-native deployments, and experience with CMS platforms like AEM is highly desired.