Computer Scientist (Automation + UI)

📍 Job Overview

Job Title: Computer Scientist (Automation + UI)

Company: Adobe

Location: Noida, Uttar Pradesh, India

Job Type: FULL_TIME

Category: Quality Engineering / Software Development Operations

Date Posted: May 06, 2026

Experience Level: Mid-Senior Level (4-8 years)

Remote Status: On-site

🚀 Role Summary

• This role focuses on driving quality engineering practices for Adobe's Frame.io platform, ensuring the reliability, scalability, and performance of next-generation video collaboration and media workflows.

• You will be instrumental in translating product requirements into robust, testable solutions, and embedding quality throughout the entire development lifecycle.

• The position involves building and maintaining cloud-native microservices and modern frontend applications, contributing to a distributed systems environment.

• Key responsibilities include designing and implementing comprehensive automated testing strategies and advocating for best practices in testing, reliability, and system design.

📝 Enhancement Note: While the title is "Computer Scientist," the description strongly indicates a Quality Engineering or Software Development Engineer in Test (SDET) role with a heavy emphasis on automation, distributed systems, and cloud-native architectures. The "UI" in the title likely refers to testing frontend applications, not necessarily building them from scratch, though contributions to API design are expected. This role is crucial for ensuring the operational excellence of a high-throughput, cloud-based platform.

📈 Primary Responsibilities

• Drive quality engineering practices across the full technology stack to ensure the reliability, scalability, and performance of Adobe's Frame.io platform.

• Collaborate closely with product managers to translate complex requirements into robust, testable, and scalable software solutions.

• Design, build, and maintain automated testing strategies, including unit, integration, end-to-end, and performance testing frameworks.

• Contribute to API design and validation for distributed systems, working with technologies like REST and GraphQL.

• Develop and enhance event-driven architectures and asynchronous systems, ensuring their stability and efficiency.

• Partner with engineering teams to embed quality assurance and testing methodologies throughout the entire software development lifecycle (SDLC).

• Improve observability, monitoring, and debugging capabilities across microservices to proactively identify and resolve issues.

• Participate actively in design and code reviews, providing critical feedback with a strong focus on quality, maintainability, and system design.

• Advocate for and implement best practices in testing, reliability engineering, and scalable system design within the team.

• Contribute to the continuous integration and continuous deployment (CI/CD) pipelines, ensuring quality gates are effectively implemented.

📝 Enhancement Note: The responsibilities highlight a proactive and integrated approach to quality engineering, moving beyond traditional end-of-cycle testing. The emphasis on collaborating with product managers and engineering teams suggests a role that influences product development from its inception.

🎓 Skills & Qualifications

Education:

Experience:

• 4–8 years of professional software engineering experience, with a significant specialization in quality engineering, testable system design, and automation.

• Demonstrated experience in building and testing microservices-based, distributed systems.

Required Skills:

• Strong hands-on experience with TypeScript and JavaScript, particularly within the Node.js ecosystem.

• Proficiency in Python for scripting, automation, and backend development.

• Experience building and testing microservices and understanding of distributed systems architectures.

• Expertise in designing and implementing automated testing frameworks at various levels (unit, integration, end-to-end).

• Solid understanding of API design principles, including REST and GraphQL.

• Familiarity with cloud platforms such as AWS, Azure, or GCP.

• Experience with containerization technologies like Docker and orchestration tools like Kubernetes.

Preferred Skills:

• Exposure to backend programming languages like Go and/or Elixir.

• Experience with event-driven architectures and asynchronous system patterns.

• Knowledge of performance and reliability testing methodologies.

• Familiarity with observability and monitoring tools.

• Solid foundation in data structures, algorithms, and system design principles.

📝 Enhancement Note: The "Computer Scientist" title, combined with the experience requirement (4-8 years), suggests a role that requires not just testing but also a deep understanding of software architecture and engineering fundamentals, enabling contributions to system design and best practices. The emphasis on both frontend (UI) and backend (microservices, APIs) testing implies a full-stack quality engineering perspective.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Automation Frameworks: Showcase examples of automated testing frameworks you've designed, implemented, or significantly contributed to, detailing the technologies used (e.g., Jest, Mocha, Pytest, Cypress) and the problems solved.

• System Design & Testability: Provide case studies or examples demonstrating how you've influenced system design to improve testability and maintainability in microservices or distributed systems.

• Performance Testing: Include evidence of performance testing initiatives, outlining methodologies, tools used (e.g., JMeter, k6), and how results led to performance improvements or capacity planning.

• CI/CD Integration: Demonstrate experience integrating automated tests into CI/CD pipelines, showing how quality gates were established and maintained to ensure code quality before deployment.

Process Documentation:

• Workflow Optimization: Document a process improvement you led or significantly contributed to, detailing the original process, the identified inefficiencies, the implemented solution (often involving automation), and the measurable outcomes.

• Test Strategy Development: Provide examples of comprehensive test strategies you've developed for complex features or systems, outlining scope, types of testing, environments, and risk mitigation.

• Debugging & Root Cause Analysis: Include a case study illustrating your approach to debugging complex issues in distributed systems, emphasizing your methodology for identifying the root cause and proposing solutions.

📝 Enhancement Note: For a role with a strong quality engineering and automation focus, a portfolio demonstrating practical application of these skills is critical. Candidates should be prepared to walk through specific examples of their contributions to automated testing, system design for testability, and process improvements that enhanced product quality and operational efficiency.

💵 Compensation & Benefits

Salary Range:

• Based on Adobe's typical compensation structure for mid-senior level engineering roles in India, and considering the specific skills (TypeScript, Python, Microservices, Cloud), a competitive salary range for a Computer Scientist (Automation + UI) in Noida, India, would likely fall between ₹18,00,000 to ₹35,00,000 per annum. This range accounts for experience (4-8 years), the specialized nature of the role, and Adobe's positioning as a leading tech company.

Benefits:

• Comprehensive health insurance coverage (medical, dental, vision) for employees and dependents.

• Life insurance and disability insurance.

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

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

• Employee Stock Purchase Plan (ESPP) or stock options/grants.

• Professional development opportunities, including training, conferences, and certifications.

• Access to Adobe's internal learning platforms and resources.

• Wellness programs and resources.

• Parental leave policies.

• Employee assistance programs (EAP).

Working Hours:

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

• While the role is on-site, there's an expectation of flexibility to meet project deadlines and respond to critical production issues, which may occasionally require working beyond standard hours.

📝 Enhancement Note: The salary estimate is a broad range and can vary significantly based on the candidate's specific experience, interview performance, and negotiation. Adobe is known for offering a comprehensive benefits package that supports employee well-being, professional growth, and financial security.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software & Technology, specifically focused on Creative Tools, Digital Media, and Customer Experience Management. Adobe's Frame.io platform operates within the rapidly growing video collaboration and production software market.

Company Size: Adobe is a large enterprise company, employing over 29,000 people globally. This size offers stability, extensive resources, and opportunities for internal mobility, while also necessitating structured processes and clear communication channels.

Founded: 1982. Adobe has a long-standing history of innovation in digital media and has successfully transitioned its business model to SaaS, demonstrating adaptability and forward-thinking.

Team Structure:

• The role is within the Frame.io platform team at Adobe, which focuses on next-generation video collaboration and media workflows.

• This team likely comprises a mix of individual contributors and managers, including product managers, designers, frontend engineers, backend engineers, and quality engineers.

• The reporting structure is likely flat, with an engineering manager overseeing a group of engineers and quality professionals, who in turn collaborate closely with product management.

Methodology:

• Data Analysis & Insights: The team will rely on data from testing, performance monitoring, and user feedback to drive improvements and validate solutions. A data-driven approach to quality assurance is expected.

• Workflow Planning & Optimization: Emphasis on agile methodologies, with continuous integration and deployment (CI/CD) practices to ensure rapid, high-quality releases. Process optimization is a core tenet of the role.

• Automation & Efficiency: A strong focus on automating repetitive tasks, building robust testing infrastructure, and leveraging cloud-native technologies to enhance development and deployment efficiency.

Company Website: https://www.adobe.com/ and https://frame.io/

📝 Enhancement Note: Working at a company like Adobe, especially on a platform like Frame.io, means being part of a product that aims for global scale and high reliability. The culture likely values innovation, collaboration, and a commitment to delivering polished, high-quality user experiences, which directly impacts the responsibilities of this quality engineering role.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a mid-senior level (P30/Individual Contributor), requiring 4-8 years of experience. It's a hands-on individual contributor role focused on technical expertise in quality engineering and automation within a complex software development environment. The "Computer Scientist" title suggests a deeper technical grasp beyond typical QA roles, potentially involving contributions to algorithmic efficiency or system design from a quality perspective.

Reporting Structure: The individual will report to an engineering manager or a lead within the Frame.io quality engineering or platform development team. They will work closely with peer engineers, product managers, and designers.

Operations Impact: This role has a direct impact on the operational stability, reliability, and user experience of the Frame.io platform. By ensuring high-quality code and robust automated testing, the Computer Scientist contributes to reduced production incidents, faster release cycles, and increased customer satisfaction, all of which are critical for business growth and revenue.

Growth Opportunities:

• Technical Specialization: Deepen expertise in cloud-native architectures, microservices testing, advanced automation techniques, and specific programming languages (Go, Elixir).

• Leadership in Quality: Grow into a lead or principal engineer role, mentoring junior engineers, defining test strategies for larger initiatives, and influencing architectural decisions regarding quality and reliability.

• Cross-Functional Movement: Potential to transition into backend development, SRE, or product management roles, leveraging the broad understanding of the platform and development lifecycle gained in this position.

• Industry Certifications: Pursue certifications in cloud technologies (AWS, Azure, GCP), Kubernetes, or specific testing methodologies.

📝 Enhancement Note: Adobe is a large organization with structured career paths. This role offers a solid foundation for a career in quality engineering, automation, or broader software development, with clear potential for advancement within the company's technical ladders.

🌐 Work Environment

Office Type: This is an on-site role at Adobe's offices in Noida, India. The environment is likely a modern corporate office designed to foster collaboration and innovation.

Office Location(s): Noida, Uttar Pradesh, India (Pin code: 201301). This location is a significant IT and business hub in India.

Workspace Context:

• Collaborative Environment: Expect an office setting with shared workspaces, meeting rooms, and common areas designed to facilitate interaction and teamwork among engineers, product managers, and designers.

• Tools and Technology: Access to standard corporate IT infrastructure, high-performance workstations, and potentially specialized testing environments. The team will utilize modern development and collaboration tools.

• Team Interaction: Regular opportunities for face-to-face collaboration, team meetings, brainstorming sessions, and knowledge sharing with colleagues working on the Frame.io platform.

Work Schedule: The standard work schedule is typically 40 hours per week, Monday to Friday, with the expectation of flexibility to meet critical project deadlines or address urgent production issues in a cloud-native environment.

📝 Enhancement Note: The on-site nature of the role emphasizes the importance of in-person collaboration, team dynamics, and contributing to a shared physical workspace culture within Adobe's Noida campus.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely conduct an initial phone screen to assess basic qualifications, experience, and cultural fit.

• Technical Interviews: Expect multiple rounds of technical interviews focusing on:

  • Coding: Live coding challenges in TypeScript, JavaScript, or Python, assessing problem-solving abilities, data structures, algorithms, and code quality.
  • System Design: Discussions on designing scalable, reliable, and testable distributed systems, microservices architecture, and API design.
  • Automation & Testing: Deep dives into your experience with automated testing frameworks, test strategy development, and CI/CD integration.
  • Cloud & Infrastructure: Questions related to cloud platforms (AWS/Azure/GCP), Docker, and Kubernetes.

• Portfolio Review: A dedicated session where you will present specific examples from your portfolio showcasing your work in automation, system design for quality, and process optimization.

• Hiring Manager/Team Fit: Interviews to assess collaboration skills, communication, problem-solving approach, and alignment with Adobe's culture and the team's working style.

Portfolio Review Tips:

• Quantify Impact: For each project in your portfolio, clearly articulate the problem you solved, the solution you implemented, and the measurable results (e.g., reduced bug count by X%, increased test coverage by Y%, decreased release cycle time by Z%).

• Showcase Automation: Provide working code examples (if possible and non-confidential) or detailed descriptions of automation frameworks and scripts you've built. Highlight the ROI of your automation efforts.

• Demonstrate System Thinking: Explain how your quality engineering approach influenced system design and how you ensured testability in complex distributed environments.

• Tell a Story: Structure your portfolio presentation to tell a narrative: the challenge, your approach, the solution, and the outcome. Focus on your specific contributions.

• Tailor to the Role: Emphasize projects that align with the requirements of this specific role: microservices, cloud, TypeScript/Python, and end-to-end automation.

Challenge Preparation:

• Coding Practice: Utilize platforms like LeetCode, HackerRank, or similar, focusing on medium-level algorithm and data structure problems, as well as JavaScript/TypeScript and Python coding challenges.

• System Design Study: Review common system design patterns for distributed systems, microservices, and API design. Be prepared to discuss trade-offs.

• Test Strategy Scenarios: Think through how you would approach testing a complex feature for a video collaboration platform, considering various types of testing and potential failure points.

• Frame.io Research: Familiarize yourself with Adobe's Frame.io platform to understand its use cases and technical challenges from a quality perspective.

📝 Enhancement Note: The interview process is designed to assess a blend of technical depth, practical application of quality engineering principles, and collaborative potential. A strong portfolio presentation that clearly articulates impact and technical expertise will be crucial.

🛠 Tools & Technology Stack

Primary Tools:

• Programming Languages: TypeScript, JavaScript (Node.js ecosystem), Python. Exposure to Go and/or Elixir is a plus.

• Automation & Testing Frameworks: Expect to use or build within frameworks like Jest, Mocha, Cypress, Playwright for frontend testing; Pytest for Python; and potentially custom frameworks for backend integration and API testing.

• Containerization & Orchestration: Docker, Kubernetes.

• Cloud Platforms: AWS, Azure, or GCP.

Analytics & Reporting:

• Monitoring & Observability: Tools like Datadog, Prometheus, Grafana, Splunk for system health, performance monitoring, and debugging.

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

• Reporting Dashboards: Tools to visualize test results, system performance metrics, and quality trends.

CRM & Automation:

• While not directly a CRM role, understanding how quality impacts user experience is key. Integration testing might involve understanding how the platform interacts with other systems.

• API Gateway/Management: Tools like Apigee or internal solutions for managing microservice APIs.

• Event-Driven Architecture Tools: Messaging queues like Kafka, RabbitMQ, or cloud-native equivalents.

📝 Enhancement Note: Proficiency in the core languages (TypeScript, Python) and a strong understanding of microservices, cloud platforms, and automation tools are paramount. Familiarity with observability tools is increasingly important for modern quality engineering roles.

👥 Team Culture & Values

Operations Values:

• Quality & Reliability: A fundamental commitment to delivering robust, stable, and high-performing software. This value drives the focus on comprehensive testing and quality gates.

• Innovation & Continuous Learning: Adobe fosters a culture of curiosity and encourages employees to explore new technologies, methodologies, and approaches to problem-solving.

• Collaboration & Teamwork: Emphasis on working together across disciplines (engineering, product, design) to achieve common goals. Open communication and mutual support are encouraged.

• Customer Focus: Understanding the impact of quality on the end-user experience and striving to deliver exceptional value to customers.

• Ownership & Accountability: Taking responsibility for one's work, driving initiatives to completion, and proactively addressing challenges.

Collaboration Style:

• Cross-Functional Integration: Expect close collaboration with product managers to deeply understand requirements and with software engineers to integrate testing seamlessly into the development process.

• Process Review & Feedback: A culture that encourages constructive feedback on code, designs, and processes to drive continuous improvement. Regular code reviews and design discussions are standard.

• Knowledge Sharing: Opportunities to share learnings, best practices, and technical insights through internal presentations, documentation, and informal discussions.

📝 Enhancement Note: Adobe's culture often emphasizes creativity, customer obsession, and excellence. For this role, it translates to a dedication to building high-quality, reliable products that empower users, supported by collaborative and learning-oriented team dynamics.

⚡ Challenges & Growth Opportunities

Challenges:

• Scaling Distributed Systems: Ensuring the quality and performance of microservices that operate at global scale, handling millions of assets and high-throughput workloads, presents significant engineering challenges.

• Balancing Velocity and Quality: Effectively managing the trade-offs between rapid product development and maintaining high standards of quality and reliability.

• Complex Testing Scenarios: Developing comprehensive test coverage for a dynamic video collaboration platform with intricate workflows, diverse user interactions, and evolving features.

• Keeping Pace with Technology: Continuously learning and adapting to new technologies, tools, and methodologies in the rapidly evolving cloud-native and DevOps landscape.

Learning & Development Opportunities:

• Operations Skill Advancement: Opportunities to deepen expertise in areas like performance engineering, chaos engineering, security testing, and advanced automation techniques.

• Industry Exposure: Potential to attend industry conferences (e.g., AWS re:Invent, KubeCon) and pursue relevant certifications in cloud technologies, Kubernetes, or specialized testing methodologies.

• Mentorship & Leadership: Access to mentorship programs and opportunities to mentor junior team members, developing leadership and guidance skills.

📝 Enhancement Note: The challenges in this role are typical of modern, large-scale SaaS platforms. They offer significant opportunities for professional growth and for developing expertise in cutting-edge technologies and methodologies.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex automation framework you designed. What were the key architectural decisions, and what challenges did you overcome?" (Focus on structure, scalability, maintainability, and your specific contributions.)

• "How would you approach testing a real-time video collaboration feature for reliability and performance under load?" (Discuss test types, scenarios, tools, and metrics.)

Company & Culture Questions:

• "What interests you about Adobe and the Frame.io platform specifically?" (Research Frame.io's market position, features, and Adobe's mission.)

• "How do you approach collaborating with product managers and engineers who may have different priorities?" (Emphasize communication, empathy, and finding common ground.)

Portfolio Presentation Strategy:

• Structure for Impact: Begin with a high-level overview, then dive into 2-3 key projects. For each project, clearly define the problem, your role/actions, the solution implemented, and the quantifiable results.

• Technical Depth: Be prepared to discuss the technical details of your work – the languages, frameworks, cloud services, and architectural patterns used. Explain why you made certain technical choices.

• Focus on Automation & Process: Clearly articulate how your work involved automation, process improvement, and enhancing system testability. Use case studies that demonstrate end-to-end thinking.

• Engage and Discuss: Treat the portfolio review as a collaborative discussion. Be open to questions and be ready to elaborate on any aspect of your work.

📝 Enhancement Note: Interviewers will be looking for candidates who not only possess strong technical skills but can also articulate their thought processes, demonstrate problem-solving abilities, and show a clear understanding of how quality engineering contributes to business objectives.

📌 Application Steps

To apply for this operations position:

• Submit your application through the official Adobe Careers portal for the "Computer Scientist (Automation + UI)" role.

• Curate Your Portfolio: Select 2-3 of your most impactful projects that showcase your expertise in automation, quality engineering for distributed systems, and CI/CD integration. Prepare to present these with quantifiable results.

• Optimize Your Resume: Tailor your resume to highlight keywords from the job description, such as TypeScript, Python, Node.js, Microservices, Cloud (AWS/Azure/GCP), Docker, Kubernetes, and Automated Testing. Quantify your achievements wherever possible.

• Practice Your Pitch: Rehearse your "elevator pitch" and be ready to clearly explain your experience and how it aligns with the role's requirements. Practice presenting your portfolio projects with confidence.

• Research Adobe & Frame.io: Understand Adobe's mission, values, and recent developments. Familiarize yourself with the Frame.io platform to discuss its technical aspects and potential quality challenges from an informed perspective.

⚠️ 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.

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