Quality Assurance Engineering Specialist ( UI, functional, API, Mobile Testing)

📍 Job Overview

Job Title: Quality Assurance Engineering Specialist (UI, functional, API, Mobile Testing)

Company: Baker Hughes

Location: Bangalore, Karnataka, India

Job Type: FULL_TIME

Category: Quality Assurance / Testing

Date Posted: May 15, 2026

Experience Level: 8+ Years (Senior Level)

Remote Status: On-site

🚀 Role Summary

• Lead end-to-end test activities for mission-critical software platforms, ensuring high product quality and defining project timelines.

• Drive comprehensive test strategies, including scope definition, planning, effort estimation, and the identification of key quality metrics.

• Manage test execution, analyze test results, and provide actionable recommendations for product and design enhancements.

• Architect and maintain scalable, reusable automation frameworks across Web, API, and Mobile platforms, focusing on efficiency and maintainability.

• Implement and leverage cutting-edge AI-driven testing strategies, including MCP, Copilot, and RAG, to enhance test generation, defect detection, and overall validation robustness.

📝 Enhancement Note: The internal title "Digital Technology Senior Specialist - Quality Assurance Engineering" suggests a senior individual contributor or lead role, emphasizing technical expertise and potential mentorship rather than direct people management. The focus on AI and modern platforms indicates a forward-thinking QA function.

📈 Primary Responsibilities

• Lead comprehensive test activities, ensuring the delivery of high-quality software for industrial inspection data management platforms.

• Define project timelines, manage test execution, review detailed test results, and provide strategic recommendations for product and design improvements.

• Develop and implement robust test strategies, encompassing risk-based test coverage analysis to prioritize testing efforts effectively.

• Design, develop, and scale automation frameworks for Web, API, and Mobile applications, ensuring high levels of reusability and maintainability.

• Architect and maintain automation scripts using modern tools like Playwright and Appium, with a focus on increasing automation coverage and reducing manual testing effort.

• Evaluate, adopt, and integrate modern automation tools and technologies, specifically exploring AI-assisted test generation and validation techniques.

• Implement AI-driven testing strategies, including the application of MCP, Copilot, and RAG (Retrieval-Augmented Generation) principles, to enhance both manual and automated testing processes.

• Lead defect triage meetings, prioritize bug fixes in collaboration with cross-functional teams, and contribute to release readiness decisions.

• Partner closely with engineering, product management, and architecture teams to champion and embed best-in-class testing practices throughout the software development lifecycle.

• Continuously analyze and improve testing processes, tools, and methodologies to enhance overall team efficiency and product quality.

📝 Enhancement Note: The responsibilities highlight a blend of strategic test leadership, hands-on automation development, and a significant focus on emerging AI technologies within QA. This role requires someone who can not only execute but also innovate and guide the team on advanced testing methodologies.

🎓 Skills & Qualifications

Education: Bachelor's Degree in Engineering or a related technical field.

Experience: Minimum of 8 years of professional experience in software testing and quality assurance, with a demonstrated track record of leadership responsibilities.

Required Skills:

• Proven experience in defining and implementing comprehensive manual and automation testing strategies.

• Strong problem-solving abilities with the capacity to articulate complex technical issues clearly.

• Hands-on expertise in designing and scaling automation frameworks across UI, functional, API, and Mobile testing domains.

• Proficient in developing UI and API automation using Playwright with TypeScript or similar languages.

• Expertise in mobile automation using Appium or comparable tools.

• Strong command of Java and Selenium for automation development.

• In-depth understanding of Agile methodologies and software testing principles.

• Experience with defect management tools such as Rally or equivalent.

• Experience working with CI/CD pipelines for continuous integration and deployment.

• Excellent analytical, troubleshooting, and quality-driven mindset.

Preferred Skills:

• Hands-on experience leveraging AI for intelligent test case generation, defect detection, and automation enhancements.

• Practical knowledge of AI-driven testing strategies, including MCP, Copilot, and RAG (Retrieval-Augmented Generation).

• Experience with test automation framework architectures such as Modular, Data-Driven, and Keyword-Driven.

• Familiarity with cloud-native application testing principles.

• Experience in the energy industry or industrial inspection solutions.

📝 Enhancement Note: The requirements emphasize a senior QA professional with a strong foundation in traditional automation (Java, Selenium, Playwright, Appium) and a significant, forward-looking emphasis on AI in testing. The "8+ years" experience and leadership responsibilities suggest this is a lead or senior specialist role, not an entry-level position.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrated Automation Frameworks: Showcase examples of automation frameworks you have architected, implemented, and scaled, detailing the technologies used (e.g., Playwright, Appium, Selenium) and the benefits achieved (e.g., increased coverage, reduced execution time).

• AI in Testing Case Studies: Present specific instances where you have applied AI principles (e.g., AI-assisted test generation, intelligent defect prediction, RAG for test data) to improve testing efficiency, effectiveness, or coverage. Detail the problem, solution, and quantifiable results.

• Test Strategy & Planning Documentation: Include samples of comprehensive test strategies, test plans, and risk-based coverage analyses you have developed, demonstrating your ability to define scope, estimate efforts, and identify critical test scenarios.

• Cross-Functional Collaboration Examples: Provide documentation or descriptions of how you have collaborated with engineering, product, and architecture teams to define testing requirements, resolve defects, and ensure release readiness.

Process Documentation:

• Workflow Optimization: Document a process you have optimized for testing, detailing the initial state, the changes implemented (e.g., introducing automation, refining CI/CD integration, leveraging AI), and the resulting improvements in efficiency, speed, or quality.

• Test Case Design and Execution: Showcase examples of well-designed test cases (manual and automated) that demonstrate thoroughness, coverage, and maintainability. Include examples of execution reports and defect management workflows.

• Agile Testing Integration: Illustrate how you have integrated QA processes within Agile/Scrum frameworks, including participation in sprint planning, backlog refinement, and daily stand-ups, with a focus on delivering value iteratively.

📝 Enhancement Note: For a senior QA role with an AI focus, the portfolio should go beyond just code. It needs to demonstrate strategic thinking, process improvement, and the successful application of advanced technologies like AI in a practical testing context. Case studies showcasing ROI and efficiency gains are crucial.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for a Senior QA Engineering Specialist with 8+ years of experience in Bangalore, India, and considering the advanced skills in AI-driven testing and automation tools like Playwright and Appium, the estimated annual salary range is ₹15,00,000 to ₹25,00,000. This range is subject to variation based on the candidate's specific qualifications, interview performance, and Baker Hughes' internal compensation structure.

Benefits:

• Contemporary work-life balance policies and wellbeing activities.

• Comprehensive private medical care options.

• Safety net of life insurance and disability programs.

• Tailored financial programs.

• Additional elected or voluntary benefits.

Working Hours: The standard full-time working hours are 40 hours per week. Baker Hughes offers flexible working patterns, including starting early/finishing early or starting late/finishing late, to accommodate individual needs while ensuring operational coverage.

📝 Enhancement Note: The salary estimation is based on aggregated data for senior software testing roles in Bangalore, India, factoring in the specific technologies and AI focus mentioned in the job description. This range is a guideline and actual compensation will be determined by the employer.

🎯 Team & Company Context

🏢 Company Culture

Industry: Energy Technology. Baker Hughes is a global leader in industrial inspection solutions, combining advanced hardware, software, and digital technologies to support asset integrity and reliability across critical industries. Waygate Technologies, a Baker Hughes business, focuses on delivering cutting-edge inspection data management platforms like InspectionWorks.

Company Size: Baker Hughes is a large, global enterprise with thousands of employees worldwide. This size implies robust processes, significant resources, and opportunities for collaboration across diverse teams and geographies.

Founded: Baker Hughes has a history spanning over a century, indicating a stable and established organization with deep expertise in its field.

Team Structure: The role is part of the Digital Technology segment, likely within a larger Quality Assurance or Engineering department. The QA team is expected to be composed of specialists with diverse skill sets, potentially including automation engineers, manual testers, and performance testers. Collaboration with cross-functional teams (Engineering, Product Management, Architecture) is a key aspect of this role. The reporting structure likely involves a QA Lead or Manager.

Methodology: The company emphasizes a cloud-native approach (InspectionWorks platform) and leverages modern technologies. The QA team is expected to operate within Agile methodologies, integrating testing seamlessly into the development lifecycle. There's a strong focus on data-driven decision-making, automation, and the adoption of AI for enhancing testing processes and product quality.

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

📝 Enhancement Note: The context suggests a company undergoing digital transformation, investing heavily in new technologies like cloud and AI. This QA role is central to ensuring the quality of these advanced digital solutions, requiring adaptability and a proactive approach to embracing new tools and methodologies.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior Specialist within Quality Assurance Engineering. It implies a high level of technical expertise, problem-solving capability, and the ability to mentor junior team members. The responsibilities suggest a lead individual contributor role, with potential for growth into a QA Lead, Architect, or specialized AI testing roles.

Reporting Structure: The role reports to a QA Manager or a Digital Technology Lead. Collaboration is expected with engineering leads, product managers, and architects, indicating a matrixed environment where influence is key.

Operations Impact: The QA Specialist's work directly impacts the reliability, performance, and user experience of critical digital platforms like InspectionWorks. High-quality software is essential for Baker Hughes' customers in ensuring asset integrity and operational efficiency in the energy sector. Successful QA directly contributes to customer satisfaction, reduced post-release issues, and faster product iteration cycles, ultimately supporting revenue generation and market competitiveness.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI-driven testing, automation frameworks (Playwright, Appium), and cloud-native application testing.

• Leadership Development: Transition into a QA Lead role, managing testing efforts for specific projects or product areas, and mentoring junior QA engineers.

• Cross-Functional Advancement: Move into roles within Engineering, Product Management, or Solutions Architecture, leveraging a strong understanding of software quality and development processes.

• Industry Certifications: Pursue advanced certifications in software testing, automation, and AI in QA.

• Innovation Hubs: Participate in internal innovation initiatives focused on exploring and implementing new QA technologies and methodologies.

📝 Enhancement Note: The emphasis on AI and modern tech stacks indicates a growth path focused on innovation within QA, rather than just traditional QA progression. The "Senior Specialist" title suggests a strong technical track with potential for leadership influence.

🌐 Work Environment

Office Type: This is an on-site role at the Baker Hughes office in Bangalore, India. The environment is likely a modern corporate office space designed for collaboration and productivity.

Office Location(s): The role is based at the NEON BUILDING WEST TOWER in Bangalore, Karnataka, India. This location is a key hub for Baker Hughes' operations in India.

Workspace Context:

• Collaborative Environment: Expect a dynamic workspace that encourages interaction with engineering teams, product managers, and fellow QA professionals. The focus on cross-functional collaboration suggests an open and communicative office setting.

• Tools and Technology: Access to a robust technology infrastructure, including development and testing environments, CI/CD tools, and collaboration platforms. The company's investment in digital solutions implies modern hardware and software are readily available.

• Team Interaction: Opportunities for daily team stand-ups, sprint reviews, and informal discussions with colleagues to share knowledge and solve problems collectively.

Work Schedule: Standard full-time hours (40 hours/week) with flexibility options (starting early/finishing early, starting late/finishing late) to support work-life balance. This flexibility allows for focused work periods, crucial for deep testing and automation tasks.

📝 Enhancement Note: The on-site requirement in a major tech hub like Bangalore suggests a vibrant office culture. The flexibility in work hours, while on-site, is a significant benefit for professionals who need focused, uninterrupted time for complex technical tasks.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Screening: A recruiter or HR representative will conduct an initial phone screen to assess basic qualifications, experience, and cultural fit.

2. Technical Interview(s): Expect one or more technical interviews focusing on your QA expertise, automation skills, problem-solving abilities, and understanding of AI in testing. These may include coding challenges (e.g., Playwright, Java) and scenario-based questions.

3. Portfolio Review: A dedicated session to discuss your submitted portfolio. Be prepared to walk through your case studies, explain your design choices for automation frameworks, detail your application of AI in testing, and articulate the impact of your work.

4. Hiring Manager Interview: A discussion with the hiring manager to delve deeper into your leadership experience, strategic thinking, and how you align with the team's goals and Baker Hughes' culture.

5. Final Round/Offer: Potentially a final interview with senior leadership or a team lead, followed by an offer.

Portfolio Review Tips:

• Quantify Impact: For each project in your portfolio, clearly articulate the problem you solved, the solution you implemented (especially AI-driven approaches), and the measurable results (e.g., % reduction in bugs, % increase in test coverage, time saved through automation, ROI).

• Showcase AI Application: Highlight specific examples of using AI for test generation, defect prediction, or automation optimization. Explain the tools and techniques used and the tangible benefits.

• Code Quality: Ensure any code samples in your portfolio are well-structured, commented, and follow best practices, showcasing your proficiency with languages like TypeScript and Java.

• Strategic Depth: Be ready to discuss your thought process behind test strategy decisions, risk assessment, and framework architecture, not just the execution. Explain why you chose certain tools or approaches.

• Tailor to the Role: Emphasize experiences relevant to UI, API, and Mobile testing, as well as familiarity with Playwright, Appium, and AI concepts mentioned in the job description.

Challenge Preparation:

• Automation Coding: Practice coding challenges using Playwright (TypeScript) and/or Java/Selenium. Be prepared to write scripts to automate specific UI interactions or API calls.

• Test Design Scenarios: Practice designing test cases for complex functionalities, including edge cases, boundary conditions, and negative scenarios. Focus on how you would apply risk-based testing.

• AI Concepts: Brush up on concepts related to AI in testing, such as machine learning for defect prediction, generative AI for test data/scripts, and RAG. Be ready to discuss how these could be applied to Baker Hughes' products.

• Problem-Solving: Prepare for questions that assess your ability to debug issues, analyze root causes, and propose solutions, drawing from your experience with tools like Rally.

📝 Enhancement Note: The portfolio review is critical for this role, especially concerning AI applications. Candidates should be prepared to demonstrate concrete examples and explain the strategic rationale behind their actions, not just present code.

🛠 Tools & Technology Stack

Primary Tools:

• UI Automation: Playwright (TypeScript/JavaScript), Selenium (Java)

• API Automation: Playwright, Postman, RestAssured (or similar Java-based tools)

• Mobile Automation: Appium, Espresso, XCUITest (or similar)

• Test Management: Rally (or Jira, TestRail, etc.)

• Version Control: Git (GitHub, GitLab, Bitbucket)

Analytics & Reporting:

• CI/CD: Jenkins, GitLab CI, Azure DevOps Pipelines, GitHub Actions

• Reporting: Tools integrated with CI/CD platforms, custom dashboards, test execution reports.

• Monitoring & Logging: Tools for application performance monitoring (APM) and log analysis to aid in defect root cause analysis.

CRM & Automation:

• While not directly a CRM role, understanding how testing impacts customer-facing platforms is beneficial. Experience with integration testing between various systems within the Baker Hughes ecosystem might be relevant.

📝 Enhancement Note: The emphasis on Playwright, Appium, and Java/Selenium clearly defines the core automation stack. The inclusion of AI tools like MCP, Copilot, and RAG indicates that familiarity or a willingness to learn these advanced technologies is highly valued. Experience with CI/CD and Agile tools like Rally is also essential.

👥 Team Culture & Values

Operations Values:

• Quality First: A deep commitment to ensuring the highest standards of product quality, reliability, and performance. This is demonstrated through meticulous testing, proactive defect prevention, and a commitment to release readiness.

• Innovation & Continuous Improvement: A drive to explore, adopt, and implement new technologies and methodologies, particularly in areas like AI-driven testing and advanced automation, to continuously enhance efficiency and effectiveness.

• Collaboration & Ownership: A strong sense of shared responsibility for product success, working closely with development, product, and architecture teams. Taking ownership of testing challenges and driving them to resolution.

• Data-Driven Decision Making: Utilizing data from test execution, defect analysis, and performance metrics to inform testing strategies, prioritize efforts, and measure the impact of quality initiatives.

• Customer Focus: Understanding that the ultimate goal of QA is to deliver value and a positive experience to end-users and customers, ensuring the platform meets their needs for asset integrity and reliability.

Collaboration Style:

• Cross-Functional Integration: Actively participates in cross-functional team meetings (e.g., sprint planning, backlog refinement, defect triage), fostering open communication and shared understanding of quality goals.

• Proactive Communication: Regularly communicates test progress, risks, and findings to stakeholders, including engineering leads, product managers, and potentially senior leadership.

• Knowledge Sharing: Willingness to share expertise, mentor junior colleagues, and contribute to the collective knowledge base of the QA team, particularly around new technologies like AI in testing.

• Constructive Feedback: Provides and receives constructive feedback on code, test cases, and processes to drive continuous improvement within the team and across the product lifecycle.

📝 Enhancement Note: The culture values technical excellence, forward-thinking adoption of new technologies like AI, and strong collaborative partnerships across departments. A proactive, communicative, and ownership-driven mindset will be highly valued.

⚡ Challenges & Growth Opportunities

Challenges:

• Integrating AI Effectively: Navigating the complexities of integrating AI-driven testing tools (MCP, Copilot, RAG) into existing workflows and ensuring their practical value and reliability. This requires continuous learning and experimentation.

• Scaling Automation: Continuously evolving and scaling automation frameworks to keep pace with rapid feature development across Web, API, and Mobile platforms, while ensuring maintainability and efficiency.

• Complex System Interdependencies: Testing a cloud-native platform with potential integrations with various industrial devices and data sources, requiring a deep understanding of system architecture and interdependencies.

• Balancing Speed and Quality: Ensuring thorough testing and high quality are maintained within fast-paced Agile development cycles, especially as new technologies are introduced.

Learning & Development Opportunities:

• AI in QA Specialization: Opportunities to become a subject matter expert in AI-driven testing, potentially leading initiatives and training for the team.

• Advanced Automation Techniques: Deep dive into cutting-edge automation frameworks and best practices, potentially exploring performance testing, security testing, and advanced mobile testing strategies.

• Cloud Technologies: Gaining deeper knowledge of cloud-native architectures, microservices, and testing strategies specific to cloud environments.

• Industry Knowledge: Expanding understanding of the energy industry and industrial inspection processes, which can enhance the effectiveness of QA by providing better context for test scenarios.

• Leadership Training: Development programs for individuals showing leadership potential, focusing on mentorship, strategic planning, and team management.

📝 Enhancement Note: The challenges are centered around the adoption of new, advanced technologies and maintaining quality in a dynamic environment. The growth opportunities are strongly aligned with becoming a leader in AI-driven QA and advanced automation within the energy tech sector.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you implemented a significant automation strategy improvement. What was the problem, your solution, and the quantifiable impact on test coverage or efficiency?" (Focus on Playwright/Appium/Selenium and your process.)

• "How would you approach defining a test strategy for a new cloud-native feature that requires Web, API, and Mobile components? What factors would you consider for risk-based coverage?"

• "Imagine we want to leverage AI for generating test cases for our API endpoints. What steps would you take, what tools might you consider, and what challenges do you anticipate?" (Be prepared to discuss RAG, Copilot, or similar concepts.)

Company & Culture Questions:

• "What do you know about Baker Hughes and Waygate Technologies' InspectionWorks platform? How do you see QA contributing to its success?"

• "Describe your experience working in an Agile environment. How do you ensure QA is integrated effectively into sprint cycles?"

• "How do you handle disagreements with development or product teams regarding bug severity or release readiness?"

Portfolio Presentation Strategy:

• Storytelling: Structure your portfolio presentation as a narrative. For each case study, clearly outline the business problem, the technical challenge, your specific solution (emphasizing AI and automation), and the impactful results.

• Demo Pragmatism: If possible, include short, focused demos of your automation scripts or AI-driven testing outputs. Focus on demonstrating functionality and impact, not just code.

• Metrics First: Lead with quantifiable achievements. Use charts, graphs, and clear numbers to illustrate the ROI of your work, whether it's reduced defect escape rates, faster test cycles, or improved coverage.

• AI Justification: Be ready to explain why you chose specific AI tools or approaches, what the expected benefits were, and what you learned from their implementation.

• Q&A Readiness: Anticipate questions about your technical choices, problem-solving approach, and how your experience aligns with the specific requirements of this role.

📝 Enhancement Note: The interview process will heavily weigh your ability to articulate your experience with advanced automation and AI. Candidates must be prepared to discuss their strategies, demonstrate technical proficiency, and showcase tangible results through their portfolio.

---

📌 Application Steps

To apply for this Quality Assurance Engineering Specialist position:

• Submit your application through the provided link on the Baker Hughes careers portal.

• Tailor Your Resume: Customize your resume to highlight your extensive experience (8+ years) in software testing, specifically emphasizing your skills in UI, API, and Mobile testing, as well as your proficiency with Playwright, Appium, Java, and Selenium. Ensure keywords like "AI-driven testing," "automation frameworks," "Agile," and "CI/CD" are prominently featured.

• Curate Your Portfolio: Select 2-3 of your strongest projects that best showcase your ability to lead test activities, design and scale automation frameworks, and, critically, apply AI in testing. Prepare clear, concise case studies for each, focusing on quantifiable results and your strategic approach. Be ready to present these confidently.

• Prepare for Technical Challenges: Practice coding exercises using Playwright (TypeScript) and/or Java. Be ready to discuss your approach to test strategy, risk assessment, and defect management in detail. Refresh your understanding of AI concepts relevant to QA.

• Research Baker Hughes: Familiarize yourself with Baker Hughes, Waygate Technologies, and the InspectionWorks platform. Understand their industry, mission, and the challenges they aim to solve. This will help you articulate how your skills align with their goals and demonstrate genuine interest during interviews.

⚠️ 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.