React/Full Stack UI Engineer

Adobe
Full-timeNoida, India

📍 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 / Operations Technology

Date Posted: May 11, 2026

Experience Level: 5-10 years

Remote Status: On-site

🚀 Role Summary

  • Lead the design, development, and implementation of scalable automation solutions for internal tools and platforms, focusing on optimizing content authoring and publishing workflows for adobe.com.

  • Build modern web applications and automation platforms leveraging React, Node.js, and cloud-native technologies to enhance global digital experience delivery across 90+ geographies.

  • Integrate Generative AI (GenAI) capabilities to develop intelligent systems for content auditing, workflow automation, and data-driven decision support, driving efficiency and scale in web operations.

  • Collaborate closely with AEM, Edge Delivery Services, and Web Production teams to ensure seamless integration of web production requirements into new platform features and automation strategies.

  • Drive end-to-end application development, from architecture design to deployment using Docker and CI/CD pipelines, ensuring robust and maintainable solutions for complex business challenges.

📝 Enhancement Note: This role bridges UI engineering with core operations automation. While the title emphasizes "UI Engineer," the responsibilities clearly point towards a significant focus on building operational tools, process automation, and leveraging technologies like GenAI to solve business challenges within web production and content management. The "Full Stack" aspect indicates a need for end-to-end development capabilities beyond just the frontend.

📈 Primary Responsibilities

  • Architect, develop, and deploy robust, scalable automation platforms and internal tools using React, Node.js, and modern web frameworks (MERN stack).

  • Design and implement end-to-end automation solutions that streamline large-scale content production activities for global websites, improving efficiency and reducing manual effort.

  • Develop and integrate Generative AI (GenAI) powered features for content auditing, intelligent insights, workflow automation, and overall efficiency improvements in web operations.

  • Collaborate with AEM and Edge Delivery Services teams to integrate web production requirements and ensure new platform capabilities align with content management and publishing needs.

  • Utilize APIs, including Microsoft Graph API and SharePoint API, to automate complex data-driven workflows and integrate with enterprise systems.

  • Develop and maintain reusable components, utilities, and automation frameworks to accelerate development velocity and ensure consistency across the platform.

  • Troubleshoot and resolve issues related to AEM, Edge Delivery Services (Franklin/Helix), and associated web automation systems.

  • Actively participate in architecture discussions, sprint planning, and Jira story grooming to define and refine scalable automation strategies.

  • Write comprehensive unit tests and engage in code reviews to uphold high standards of engineering quality and code maintainability.

  • Create and maintain detailed documentation for automation frameworks, internal tools, and system architectures to facilitate knowledge sharing and operational understanding.

  • Partner with cross-functional teams to ensure web production perspectives are effectively incorporated into engineering initiatives for adobe.com.

📝 Enhancement Note: The responsibilities highlight a strong emphasis on process optimization and automation, aligning this role closely with Revenue Operations or Sales Operations principles, but applied to the web production and content management domain. The mention of Jira, sprint planning, and agile methodologies points to a structured, operations-centric development lifecycle.

🎓 Skills & Qualifications

Education:

Experience:

  • 5+ years of hands-on experience in building modern, scalable web applications.

Required Skills:

  • Frontend Expertise: Strong proficiency in React, JavaScript (ES6+), HTML5, CSS3, Bootstrap, jQuery, JSON, XML, AJAX, and Object-Oriented JavaScript.

  • Backend & Full Stack: Extensive experience developing full-stack applications using Node.js and associated modern JavaScript frameworks.

  • Application Architecture: Demonstrated ability to build applications from scratch, encompassing architecture design, development, testing, and deployment.

  • Automation & Workflow Design: Proven experience in creating automation tools and scalable engineering solutions to optimize operational workflows.

  • Cloud-Native & Deployment: Experience with Docker and cloud-native deployment pipelines for scalable applications.

  • Version Control: Proficiency with Git-based development workflows.

  • Agile Methodologies: Understanding and experience working with Agile development practices, including CI/CD, testing, and sprint-based development.

  • Problem Solving: Strong ability to fix complex JavaScript, CSS, and performance issues.

  • Soft Skills: Excellent written and verbal communication skills for effective collaboration across global teams. Ability to quickly understand enterprise-scale workflows and distributed systems. Self-starter with the initiative to work independently in a fast-paced environment.

Preferred Skills:

  • Generative AI (GenAI): Experience with GenAI or AI-assisted development, including integrating AI APIs or building AI-assisted workflow solutions. This is a strong plus.

  • API Integration: Experience with Microsoft Graph API and SharePoint API is advantageous.

  • Databases: Experience with relational and NoSQL databases such as PostgreSQL, MongoDB, Elasticsearch, or Solr, including schema design and performance optimization.

  • CMS: Experience with Content Management Systems, particularly Adobe Experience Manager (AEM), is a strong plus.

  • Framework Design: Ability to design reusable utilities and frameworks, reducing reliance on third-party libraries.

  • Adobe Products: Knowledge of Adobe products and services.

📝 Enhancement Note: The requirement to "design reusable utilities and frameworks rather than relying heavily on third-party libraries" indicates a need for strong architectural thinking and a focus on building maintainable, scalable internal systems, a hallmark of effective operations engineering. The emphasis on GenAI positions this as a forward-looking role within operations technology.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

  • Process Automation Case Studies: Showcase examples of developing and implementing automation tools or scripts that streamlined operational workflows, reduced manual effort, and improved efficiency. Quantify the impact where possible (e.g., time saved, error reduction).

  • End-to-End Application Development: Present projects demonstrating full-stack development capabilities, including architecture design, UI implementation, backend logic, and deployment. Highlight MERN stack or similar technology usage.

  • System Integration Examples: Include projects that involved integrating with APIs (e.g., Microsoft Graph, SharePoint) or enterprise systems to automate data flows and business processes.

  • Scalability & Performance: Demonstrate understanding of building scalable solutions, with examples of how performance was considered and optimized in previous projects.

Process Documentation:

  • Workflow Optimization Documentation: Provide examples of documenting existing workflows, identifying bottlenecks, and proposing/implementing optimized automated processes.

  • System Architecture Diagrams: Include visual representations of system architectures for applications or automation platforms you've built, illustrating components, data flows, and integrations.

  • Code Quality & Testing Artifacts: Showcase evidence of adhering to coding standards, including unit tests, code review participation, and documentation of best practices.

📝 Enhancement Note: For a role focused on automation and internal tools, a portfolio demonstrating concrete problem-solving through technology is crucial. The emphasis should be on showing how processes were improved and what the measurable impact was, rather than just listing technologies used.

💵 Compensation & Benefits

Salary Range:

Benefits:

  • Comprehensive health insurance coverage (medical, dental, vision).

  • Generous paid time off (PTO), including vacation days, sick leave, and public holidays.

  • Retirement savings plan (e.g., Provident Fund, Gratuity).

  • Professional development opportunities, including training, certifications, and conference attendance.

  • Employee assistance program (EAP) for mental health and well-being support.

  • Access to Adobe's suite of products and services.

  • Opportunities for internal mobility and career advancement within Adobe.

Working Hours:

  • Standard full-time hours are typically 40 hours per week.

  • While the role is on-site, Adobe often offers flexibility within the standard workday to accommodate efficient workflow management and personal needs, consistent with Agile development practices.

📝 Enhancement Note: The salary estimate is based on current market data for similar roles in Noida, India, considering the experience level and the technology stack. It's important for candidates to note that this is an estimate and actual compensation will be determined during the hiring process.

🎯 Team & Company Context

🏢 Company Culture

Industry: Digital Media, Software, Cloud Services, Creative Tools, Marketing Technology. Adobe operates at the intersection of creativity, marketing, and digital experiences, providing essential tools and platforms for individuals and enterprises.

Company Size: Over 30,000 employees worldwide. This indicates a large, established organization with structured processes, ample resources, and diverse career paths. For operations professionals, it means opportunities for significant impact within a global framework, but also a need to navigate established systems.

Founded: Adobe was founded in 1982. With decades of experience, the company has a deep understanding of its market and a strong foundation in innovation, which likely translates to a culture that values both established best practices and forward-thinking development.

Team Structure:

  • Operations Technology Focus: The role is embedded within a team likely focused on enhancing web production workflows and internal tooling for adobe.com. This team will collaborate closely with Web Production, AEM, and Edge Delivery Services groups.

  • Reporting: The engineer will likely report to a manager or lead within the Operations Technology or Web Engineering division, with regular interaction with project leads and cross-functional stakeholders.

  • Collaboration: Expect a highly collaborative environment, working with product managers, designers, other engineers, and business stakeholders to define requirements and deliver solutions. This cross-functional interaction is key to driving operational efficiency.

Methodology:

  • Agile Development: The team likely employs Agile methodologies (Scrum/Kanban) for project management, emphasizing iterative development, frequent feedback loops, and continuous improvement.

  • Data-Driven Decisions: Operations and development decisions are likely informed by data analytics, performance metrics, and user feedback to ensure solutions meet business objectives and drive measurable impact.

  • Automation First: A core principle for this team will be the proactive identification and implementation of automation to enhance efficiency, reduce errors, and scale operations.

Company Website: https://www.adobe.com/

📝 Enhancement Note: Adobe's emphasis on digital experiences and creative tools provides a unique context for operations roles. The integration of GenAI into this space suggests a culture that embraces cutting-edge technology to enhance both creative and operational processes.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-to-senior level Full Stack UI Engineer with a strong operational focus. It requires not just coding skills but also the ability to understand business processes, design scalable solutions, and contribute to architectural decisions. The emphasis on automation and GenAI suggests a specialization in operations technology or developer productivity tooling.

Reporting Structure: Typically, an engineer at this level would report to an Engineering Manager or a Lead Engineer who oversees a specific product area or platform. They would work within a team of engineers and collaborate with product managers, designers, and business stakeholders. The structure likely supports autonomy while ensuring alignment with broader organizational goals.

Operations Impact: The engineer's work will directly impact the efficiency and scalability of adobe.com's global web presence. By automating content production workflows and leveraging GenAI, they will enable faster content delivery, improve operational cost-effectiveness, and enhance the quality of digital experiences offered to customers worldwide. This role is pivotal in modernizing web operations.

Growth Opportunities:

  • Technical Specialization: Deepen expertise in React, Node.js, cloud-native technologies, and specifically in Generative AI applications for enterprise use cases.

  • Operations Leadership: Transition into a lead engineer role, mentoring junior developers, driving technical strategy for automation initiatives, and potentially managing specific platform areas.

  • Cross-Functional Mobility: Gain exposure to various aspects of adobe.com's operations, potentially moving into roles focused on AEM architecture, Edge Delivery Services, or broader web platform engineering.

  • Product Development: Contribute to the evolution of internal Adobe tools and platforms, influencing their roadmap and feature set.

  • Industry Trends: Stay at the forefront of web development and AI by working on cutting-edge technologies and contributing to Adobe's innovation in these areas.

📝 Enhancement Note: The hybrid nature of this role (UI Engineering + Full Stack + Operations Automation + GenAI) offers a unique growth trajectory, allowing for specialization in high-demand areas that are critical for large-scale digital operations.

🌐 Work Environment

Office Type: This is an on-site role in Noida, India. Adobe typically offers modern office spaces designed to foster collaboration, innovation, and employee well-being. Expect a professional corporate environment.

Office Location(s): Noida, Uttar Pradesh, India. This location provides access to a large talent pool and is a significant hub for technology companies in India.

Workspace Context:

  • Collaborative Spaces: The office will likely feature open workspaces, meeting rooms, and dedicated collaboration zones to facilitate teamwork and knowledge sharing.

  • Technology & Tools: Access to high-performance workstations, necessary software licenses, and robust network infrastructure to support development and testing.

  • Team Interaction: Regular opportunities for in-person interaction with team members, including engineers, project leads, and stakeholders, which is crucial for agile development and problem-solving.

Work Schedule:

  • The standard work schedule will be based on local Indian business hours, aligning with the Noida office.

  • While adherence to a regular schedule is expected for an on-site role, Adobe generally promotes a results-oriented culture, allowing for some flexibility in daily working hours to optimize productivity, especially when working within global teams and agile sprints.

📝 Enhancement Note: The on-site requirement suggests a preference for direct collaboration and team synergy, which can be highly beneficial for complex projects involving new technologies like GenAI and intricate operational workflows.

📄 Application & Portfolio Review Process

Interview Process:

  • Initial Screening: A recruiter or hiring manager will review your application and resume, focusing on alignment with the core requirements (React, Node.js, full-stack experience, automation background).

  • Technical Interviews (Multiple Rounds):

    • Frontend Focus: Expect in-depth questions on React, JavaScript, HTML, CSS, and modern frontend development practices. This may include live coding exercises or problem-solving scenarios.
    • Backend/Full Stack Focus: Questions will cover Node.js, MERN stack principles, API design, database interactions, and system architecture. Coding challenges may also be included.
    • Automation & Operations Logic: You will likely be asked to discuss your approach to designing and implementing automation solutions, how you identify operational inefficiencies, and how you've used technology to solve business problems. Case studies or hypothetical scenarios may be used.
    • GenAI/AI Focus: Be prepared to discuss your understanding of GenAI, potential applications in content auditing or workflow automation, and any experience you have integrating AI models or APIs.
  • Architecture/System Design Round: A session focused on designing a scalable system or automation platform, testing your ability to think through requirements, trade-offs, and implementation strategies.

  • Hiring Manager/Team Fit Interview: A discussion to assess your communication skills, collaboration style, cultural fit with Adobe, and overall motivation for the role.

  • Final Round (Potentially with Senior Leadership): A final review of your qualifications and suitability for the role.

Portfolio Review Tips:

  • Curate for Relevance: Select 2-3 of your strongest projects that best demonstrate your skills in React, Node.js, full-stack development, and crucially, automation or process improvement.

  • Highlight Operations Impact: For each project, clearly articulate the business problem or operational challenge it addressed, the solution you engineered, and the measurable outcomes (e.g., % efficiency gain, reduction in errors, time saved). Use the STAR method (Situation, Task, Action, Result).

  • Showcase Technical Depth: Be ready to walk through the architecture, key code components, and technical decisions made during development. Explain why certain technologies or approaches were chosen.

  • Demonstrate GenAI Understanding: If you have GenAI projects, be prepared to explain the AI model used, the integration process, and the value it delivered. If not, be ready to discuss how you would apply GenAI to specific problems mentioned in the job description.

  • Prepare for Live Coding: Practice coding common algorithms and data structures, and be ready to build small components or functions related to React or Node.js.

Challenge Preparation:

  • System Design: Brush up on designing scalable web applications, microservices, and data pipelines. Consider aspects like load balancing, caching, database choices, and API gateways.

  • Automation Scenarios: Think about common operational bottlenecks in web content production and how you would automate them using code. Consider data validation, content validation, workflow triggers, and reporting.

  • Code Optimization: Be ready to analyze and optimize code for performance, readability, and maintainability.

  • Communication: Practice articulating technical concepts clearly and concisely, especially when explaining complex solutions to both technical and non-technical audiences.

📝 Enhancement Note: Adobe's focus on "AI Use Guidelines for Interviews" implies that while AI tools are encouraged for learning and preparation, their direct use during live interviews is restricted. Candidates should be prepared to demonstrate their own skills and knowledge. The portfolio review will be critical for showcasing practical application of skills to solve operational challenges.

🛠 Tools & Technology Stack

Primary Tools:

  • Frontend Framework: React (with hooks, context API, state management libraries like Redux or Zustand).

  • Backend Runtime: Node.js (with frameworks like Express.js).

  • Database Technologies: PostgreSQL (SQL), MongoDB (NoSQL), Elasticsearch, Solr.

  • Containerization: Docker for creating, deploying, and running applications in containers.

  • Version Control: Git (e.g., GitHub, GitLab, Bitbucket).

  • CMS: Adobe Experience Manager (AEM) - understanding its architecture and integration points is a plus.

  • API Integration: Microsoft Graph API, SharePoint API, RESTful APIs.

Analytics & Reporting:

  • CI/CD Tools: Jenkins, GitLab CI, GitHub Actions for automated build, test, and deployment pipelines.

  • Monitoring & Logging: Tools for application performance monitoring (APM) and log aggregation (e.g., ELK Stack, Splunk).

  • Dashboarding: Tools for creating visualizations and operational dashboards (e.g., Grafana, Tableau, internal Adobe tools).

CRM & Automation:

  • Web Production Tools: Familiarity with tools and processes used in large-scale web content production and management.

  • Workflow Automation Platforms: Experience building custom automation workflows or using relevant tools.

  • Integration Platforms: Understanding of how to connect different systems and automate data flows.

📝 Enhancement Note: The explicit mention of AEM, Edge Delivery Services, Microsoft Graph API, SharePoint API, and a variety of databases (Postgres, MongoDB, Elastic, Solr) indicates a complex technical environment. Proficiency in these, particularly for integration and automation purposes, will be highly valued.

👥 Team Culture & Values

Operations Values:

  • Customer Focus (Internal & External): Although primarily building internal tools, the ultimate goal is to improve the experience for external customers by enabling faster, more efficient content delivery. Internal users (web production teams) are also key stakeholders.

  • Innovation & Continuous Improvement: A drive to explore new technologies like GenAI and implement novel solutions to enhance existing processes and workflows.

  • Efficiency & Scalability: Commitment to building robust, scalable, and efficient systems that can handle large volumes of content and operations across geographies.

  • Collaboration & Transparency: Open communication, proactive knowledge sharing, and a willingness to collaborate across diverse teams to achieve common goals.

  • Quality & Reliability: Dedication to high engineering standards, rigorous testing, and delivering dependable solutions.

Collaboration Style:

  • Cross-Functional Integration: The role demands strong collaboration with product managers, AEM specialists, web production teams, and other engineering groups to ensure alignment and successful integration of automation initiatives.

  • Agile Teamwork: Participation in daily stand-ups, sprint reviews, and retrospectives, contributing to a team-oriented, iterative development process.

  • Knowledge Sharing: A culture that encourages sharing best practices, learnings from projects, and technical insights through code reviews, documentation, and team discussions.

📝 Enhancement Note: Adobe's stated values ("people, purpose, community," "Adobe for All") combined with the operational nature of this role suggest a culture that values both individual contribution and collective success, with a strong emphasis on using technology to empower creativity and efficiency.

⚡ Challenges & Growth Opportunities

Challenges:

  • Integrating GenAI: Effectively integrating Generative AI into existing workflows and ensuring its output is reliable, ethical, and aligns with brand guidelines will be a significant challenge requiring careful design and validation.

  • Scalability for Global Operations: Ensuring automation solutions scale effectively to support adobe.com's presence in over 90 geographies and 40 languages, handling diverse content types and workflows.

  • Legacy System Integration: Working with and potentially modernizing integrations with older systems or platforms (like AEM) while introducing new technologies.

  • Balancing Innovation with Stability: Implementing cutting-edge technologies like GenAI while maintaining the stability and reliability of core web production systems.

Learning & Development Opportunities:

  • GenAI Expertise: Gain hands-on experience and develop deep expertise in applying Generative AI to enterprise-level content production and operational challenges.

  • Cloud-Native Technologies: Enhance skills in cloud-native development, containerization (Docker), and CI/CD pipelines for scalable application deployment.

  • AEM & Web Platform Deep Dive: Develop a comprehensive understanding of Adobe Experience Manager and Edge Delivery Services, becoming a key resource for their integration and automation.

  • Process Optimization: Hone skills in analyzing complex business workflows and designing efficient, automated solutions that drive significant operational improvements.

  • Mentorship: Opportunity to learn from experienced engineers and potentially mentor junior team members as you grow in the role.

📝 Enhancement Note: The challenges presented are inherent to roles that blend new technologies with established enterprise systems, offering significant learning opportunities for ambitious engineers.

💡 Interview Preparation

Strategy Questions:

  • Operations Strategy: "Describe a complex operational workflow you've encountered. How did you identify inefficiencies, and what steps would you take to automate it using technologies like React, Node.js, and potentially GenAI?"

    • Preparation: Be ready to walk through a specific project from your portfolio, detailing the problem, your analytical approach, the technologies used, and the quantifiable results. Emphasize your problem-solving methodology.
  • Collaboration & Stakeholder Management: "How do you ensure your technical solutions effectively meet the needs of diverse stakeholders, such as web production teams, AEM specialists, and international project leads?"

    • Preparation: Discuss your experience gathering requirements, managing expectations, providing updates, and incorporating feedback. Use examples of successful cross-functional collaborations.
  • Problem-Solving & Efficiency: "Imagine a scenario where content publishing for a major campaign is significantly delayed due to manual errors. What would be your approach to diagnose the root cause and implement a quick, yet sustainable, automated fix?"

Company & Culture Questions:

  • Company Operations Culture: "Adobe is known for digital experiences. How do you see automation and GenAI contributing to this mission from an operational perspective for adobe.com?"

    • Preparation: Research Adobe's products, mission, and recent news on AI. Connect your role's impact to Adobe's broader business objectives and its commitment to innovation.
  • Operations Team Dynamics: "This role requires close collaboration with AEM and Edge Delivery teams. How would you approach building rapport and ensuring effective communication with teams whose primary focus might differ from yours?"

    • Preparation: Discuss your ability to understand different team perspectives, adapt your communication style, and find common ground through shared goals.
  • Operations Impact Measurement: "How do you measure the success of automation initiatives? What key performance indicators (KPIs) would you track for the tools and platforms you build?"

Portfolio Presentation Strategy:

  • Storytelling: Frame your portfolio projects as compelling narratives. Start with the "why" (the problem), detail the "how" (your solution and technical approach), and conclude with the "what" (the results and impact).

  • Quantify Everything: Use numbers and data to demonstrate the value and impact of your work. If exact numbers aren't available, provide well-reasoned estimates.

  • Focus on Process Improvement: For each project, explicitly show how you improved a process, automated a task, or made a system more efficient.

  • Technical Clarity: Be ready to explain your architectural decisions, code choices, and challenges faced during development. Use diagrams if helpful.

  • GenAI Application: If applicable, clearly articulate the role of AI/GenAI in your project and the specific benefits it provided. If not, be ready to discuss your understanding of its potential application in similar contexts.

📝 Enhancement Note: Given the emphasis on "automation and GenAI solutions," interviewers will be looking for candidates who can not only code but also think strategically about how technology can solve business problems and improve operational efficiency. Demonstrating a clear understanding of the "operations" aspect of the role is key.

📌 Application Steps

To apply for this operations technology position:

  • Submit your application through the official Adobe Careers portal via the provided link.

  • Portfolio Customization: Tailor your resume and cover letter to highlight your most relevant experience in React, Node.js, full-stack development, and specifically, your accomplishments in building automation tools or optimizing operational workflows. Ensure your portfolio is readily accessible and showcases projects that demonstrate these skills.

  • Resume Optimization: Clearly articulate your experience with MERN stack, cloud-native technologies, GenAI integration (if applicable), and any experience with AEM or similar CMS platforms. Use keywords from the job description naturally. Quantify achievements wherever possible (e.g., "Reduced content publishing time by 30% through automated workflow tool").

  • Interview Preparation: Practice answering behavioral questions using the STAR method, focusing on your problem-solving abilities, collaboration skills, and experience with automation. Prepare to discuss your portfolio projects in detail and articulate the operational impact of your work.

  • Company Research: Familiarize yourself with Adobe's mission, values, products, and recent developments, particularly regarding their AI strategy and digital experience platforms. Understand how your role contributes to Adobe's overall goals.

⚠️ 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.