Software Quality Engineer – UI & API Testing

📍 Job Overview

Job Title: Software Quality Engineer – UI & API Testing

Company: Hewlett Packard Enterprise (HPE)

Location: Bangalore, Karnataka, India

Job Type: Full-Time

Category: Software Quality Assurance / Testing

Date Posted: April 15, 2026

Experience Level: 2-5 Years

Remote Status: Hybrid (2 days/week in office)

🚀 Role Summary

• Focus on ensuring the high quality of the Mist Cloud platform through rigorous UI and REST API testing.

• Develop and maintain robust automated test suites using Python-based frameworks to enhance testing efficiency and coverage.

• Execute critical testing phases including staging smoke tests, production validations, and comprehensive regression testing.

• Contribute to architectural analysis of UI and API to proactively identify and address potential gaps, improving design, stability, and overall testability.

• Collaborate closely with development teams to manage the defect lifecycle, ensuring timely resolution and software stability.

📝 Enhancement Note: Given the "Software Quality Engineer – UI & API Testing" title and the mention of "Mist Cloud platform," this role is positioned within the technical quality assurance domain, focusing on cloud-based software solutions. The emphasis on Python, Selenium, and pytest indicates a strong need for automation skills, a cornerstone of modern software quality operations. The hybrid work model suggests a need for strong self-management and communication skills to effectively collaborate with both on-site and potentially remote team members.

📈 Primary Responsibilities

• Conduct comprehensive testing, validation, and automation of Web GUI and REST API functionalities for the Mist Cloud platform to guarantee superior software quality for each release cycle.

• Design, develop, and maintain sophisticated automated test suites for both UI and API layers, leveraging Python and industry-standard frameworks like Selenium and pytest.

• Execute staging smoke tests, production validations, and thorough regression testing to ensure the integrity and stability of deployed software.

• Analyze the architecture of the Mist UI and API to pinpoint potential quality gaps, suggesting enhancements for improved design, stability, and broader test coverage.

• Meticulously log, track, and manage defects and enhancement requests, fostering close collaboration with development teams to ensure swift and effective resolutions.

• Update and maintain comprehensive test plans to support ongoing regression testing efforts and strategically expand automation coverage.

• Build, monitor, and manage dedicated test environments to ensure the reliability of automation execution and the accuracy of test reporting.

• Create and maintain clear, concise technical documentation for Quality Assurance and Customer Support teams, facilitating knowledge transfer and operational efficiency.

• Partner with Customer Success teams to investigate customer-reported issues, accurately reproduce defects, and systematically convert them into regression test cases to prevent future occurrences.

• Independently manage and prioritize multiple tasks while effectively collaborating with cross-functional teams in a dynamic, fast-paced environment.

• Participate in team meetings, potentially during early or late hours, to effectively support international stakeholders and ensure global project alignment.

📝 Enhancement Note: The responsibilities highlight a blend of manual and automated testing, with a strong emphasis on automation development using Python. The requirement to collaborate with Customer Success and analyze architecture points to a proactive, problem-solving approach, common in high-performing QA operations teams that aim to prevent defects rather than just detect them.

🎓 Skills & Qualifications

Education:

Experience:

Required Skills:

• Python Programming: Strong proficiency in Python with solid programming fundamentals, essential for automation framework development and scripting.

• Selenium WebDriver: Hands-on experience in automating UI tests using Selenium for web applications.

• Pytest Framework: Demonstrated experience with pytest for writing, organizing, and executing automated tests.

• API Testing: Proven experience in testing RESTful APIs, including understanding HTTP methods, status codes, and request/response structures.

• Web Application Testing: Solid understanding of web application functionality, client-server architecture, and common web technologies.

• Communication Skills: Excellent written and verbal communication abilities for clear status reporting, defect documentation, and cross-functional collaboration.

• Problem-Solving: Strong analytical and problem-solving capabilities to identify root causes of defects and propose effective solutions.

• Teamwork: Ability to work effectively and collaboratively within cross-functional teams.

• Project Status Communication: Skill in clearly articulating project status, identifying risks, and communicating blockers to stakeholders.

• Onsite Work: Willingness and ability to work in an onsite model, 5 days per week, at the Bangalore office.

Preferred / Nice-to-Have Skills:

• UI/API Troubleshooting: Experience in diagnosing and troubleshooting issues within UI and API layers.

• Regression Test Case Development: Proficiency in writing detailed and effective regression test cases.

• Django RESTful APIs: Familiarity with Django framework, particularly its RESTful API capabilities.

• Networking Technologies: Basic knowledge of networking concepts, protocols, and technologies.

• Initiative & Autonomy: A self-starter attitude with the ability to take initiative and work independently with minimal supervision.

• Dynamic Environments: Comfort and adaptability in working within fast-paced and rapidly changing environments.

📝 Enhancement Note: The required skills strongly emphasize a hands-on approach to test automation, particularly with Python, Selenium, and pytest, which are critical for efficient software quality operations. The preferred skills like Django RESTful APIs and networking knowledge suggest a more specialized understanding that could benefit the team in complex cloud environments.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Automation Framework Showcase: Demonstrate a well-structured, reusable, and maintainable automated test framework developed using Python, Selenium, and pytest. This should include examples of test case design, execution, and reporting.

• API Test Case Examples: Provide clear examples of API test cases, showcasing an understanding of request construction, response validation, and error handling for RESTful services.

• Defect Tracking & Resolution: Include documentation or examples of how defects were logged, tracked, and managed, illustrating the process from identification to resolution and verification.

• Test Environment Management: Showcase any experience or approach to building, maintaining, or monitoring test environments to ensure reliable test execution.

Process Documentation:

• Workflow Design for Automation: Present examples of how you've designed or contributed to the design of automated testing workflows to optimize efficiency and coverage.

• Test Plan Contributions: Illustrate contributions to test plans, showing an understanding of test scope, strategy, and resource allocation for different testing phases.

• Performance Metrics & Reporting: Include examples of how test results and quality metrics were reported, demonstrating an ability to communicate test progress and software quality status effectively.

📝 Enhancement Note: For a Software Quality Engineer role heavily focused on automation, a portfolio showcasing practical application of Python, Selenium, and pytest is crucial. Candidates should be prepared to demonstrate not just the code but also the strategy behind their automation efforts, including test design, environment setup, and defect management processes.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Health & Wellbeing: Comprehensive support for physical, financial, and emotional wellbeing.

• Personal & Professional Development: Investment in career growth through specific programs, skill enhancement, and opportunities for specialization.

• Unconditional Inclusion: A commitment to an inclusive work environment that celebrates individual uniqueness and values diverse backgrounds.

• Flexible Work Arrangements: While this role is primarily onsite, HPE's culture emphasizes flexibility where possible, supporting work-life balance.

• Retirement Savings Plans: Access to employee provident fund (EPF) and other retirement savings schemes as per Indian regulations.

• Health Insurance: Robust health insurance coverage for employees and potentially their dependents.

Working Hours:

• Standard full-time working hours, typically around 40 hours per week. However, the role may require flexibility to participate in team meetings or activities supporting international stakeholders, potentially involving early or late hours.

📝 Enhancement Note: The salary estimate is based on typical compensation for Software Quality Engineers with 2-5 years of experience in Bangalore, India, considering the technical skill requirements (Python, Selenium, API testing). HPE's stated benefits align with standard industry offerings, emphasizing employee wellbeing and professional growth, which are attractive to operations professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Edge-to-Cloud Solutions, IT Infrastructure, Software)

Company Size: Large Enterprise (Hewlett Packard Enterprise is a global company with tens of thousands of employees worldwide).

Founded: 2015 (as a spin-off from Hewlett-Packard).

Team Structure:

• QA Team: This role is part of a dedicated Quality Assurance team responsible for the Mist Cloud platform. The team likely consists of various QA engineers specializing in different areas (UI, API, performance, etc.).

• Reporting Structure: The Software Quality Engineer will likely report to a QA Lead or Manager, who in turn reports to higher levels of engineering management.

• Cross-functional Collaboration: Close collaboration is expected with Software Development Engineers, Product Managers, DevOps, and potentially Customer Success teams to ensure product quality and customer satisfaction.

Methodology:

• Agile Development: HPE, like many tech companies, likely follows Agile methodologies (e.g., Scrum, Kanban) for its software development lifecycle, emphasizing iterative development, continuous integration, and frequent releases.

• Quality-First Approach: The company culture promotes a quality-first mindset, where engineers are encouraged to take ownership of product quality throughout the development process.

• Data-Driven Decisions: Decisions regarding product development, testing strategies, and process improvements are often informed by data and metrics.

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

📝 Enhancement Note: HPE's size and global presence mean this role operates within a structured, enterprise environment that values process, scalability, and robust quality assurance practices. The "edge-to-cloud" focus indicates a modern technology stack and a forward-thinking approach to IT solutions.

📈 Career & Growth Analysis

Operations Career Level:

Reporting Structure:

Operations Impact:

Growth Opportunities:

• Technical Specialization: Deepen expertise in test automation tools and frameworks (e.g., advanced Selenium techniques, exploring other Python testing libraries, performance testing tools).

• Domain Expertise: Develop a strong understanding of cloud technologies, networking, and the specific domain of the Mist Cloud platform.

• Test Architecture: Progress towards roles involving test architecture design, leading automation initiatives, or contributing to CI/CD pipeline integration.

• Leadership: Potentially move into a Senior QA Engineer role, mentoring junior team members, or leading specific testing efforts.

• Cross-functional Roles: Opportunities to move into roles within development, DevOps, or even technical support, leveraging a strong understanding of the product.

📝 Enhancement Note: The "TCP_02" job level suggests a defined career progression path within HPE. The emphasis on both technical depth (automation) and breadth (collaboration, domain knowledge) provides multiple avenues for career growth, typical in large technology organizations.

🌐 Work Environment

Office Type:

Office Location(s):

Workspace Context:

• Collaborative Environment: The hybrid model encourages collaboration, with office days likely dedicated to team meetings, brainstorming sessions, and in-person discussions.

• Tools and Technology: Employees will have access to necessary hardware, software, and network infrastructure to perform their roles, including development tools, testing platforms, and communication software.

• Team Interaction: Opportunities for direct interaction with QA engineers, developers, and other team members to foster a cohesive working environment and facilitate knowledge sharing.

Work Schedule:

• The standard work schedule will be full-time, with the expectation of hybrid attendance. Flexibility may be required to accommodate global team interactions, as noted in the responsibilities.

📝 Enhancement Note: The hybrid nature of the role requires individuals to be comfortable working both independently (likely from home) and collaboratively in an office setting. This balance is common in many tech companies to foster both focused work and team synergy.

📄 Application & Portfolio Review Process

Interview Process:

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

• Technical Interview(s): Expect one or more technical interviews focusing on:

  • Python Programming: Coding challenges assessing proficiency in Python, data structures, and algorithms.
  • Automation Concepts: Questions about Selenium, pytest, test design patterns, and framework implementation.
  • API Testing: Scenarios involving REST API testing, including request/response handling and validation.
  • Problem-Solving: Hypothetical scenarios to evaluate analytical thinking and troubleshooting skills.

• Hiring Manager Interview: A discussion with the hiring manager to delve deeper into experience, career goals, and alignment with the team's objectives.

• Team/Cross-functional Interview: Potentially an interview with team members or stakeholders to assess collaboration skills and technical approach.

• Final Round: May involve a discussion with a senior leader or a comprehensive review of your technical assessments.

Portfolio Review Tips:

• Highlight Automation Projects: Select 1-2 key automation projects that demonstrate your skills with Python, Selenium, and pytest. Include links to public repositories (e.g., GitHub) if possible, or prepare detailed descriptions and screenshots.

• Focus on Process Improvement: For each project, clearly articulate the problem you solved, the solution you implemented (e.g., framework architecture, specific test strategies), and the impact (e.g., increased test coverage, reduced execution time, defect reduction).

• Showcase API Testing: Include examples of API test cases, demonstrating your understanding of various request types, data payloads, and response assertions.

• Document Defect Management: Prepare to discuss your process for identifying, documenting, and tracking defects, using examples of how you've effectively communicated issues to developers.

• Quantify Achievements: Whenever possible, use metrics to demonstrate the value of your work (e.g., "Increased automated test coverage by 30%," "Reduced regression testing time by 50%").

Challenge Preparation:

• Coding Challenges: Practice common Python coding problems, focusing on efficiency and clarity. Be prepared to explain your thought process.

• Automation Scenarios: Think about how you would automate testing for a given UI feature or API endpoint. Outline your approach, tools, and potential challenges.

• Troubleshooting Exercises: Prepare to analyze logs or describe how you would debug a failing test case or a suspected defect.

📝 Enhancement Note: Given the emphasis on automation, candidates should be ready for practical coding exercises and detailed discussions about their automation frameworks and methodologies. A well-prepared portfolio that showcases tangible results is essential.

🛠 Tools & Technology Stack

Primary Tools:

• Python: The core programming language for automation scripting and framework development.

• Selenium WebDriver: For automating web browser interactions and UI testing.

• Pytest: A popular Python testing framework for writing and running tests, fixtures, and assertions.

• IDE/Code Editor: Tools like VS Code, PyCharm, or Sublime Text for writing and managing code.

Analytics & Reporting:

• Test Reporting Tools: Frameworks like pytest-html or custom reporting solutions for generating test execution reports.

• CI/CD Tools: Familiarity with tools like Jenkins, GitLab CI, or Azure DevOps for integrating automated tests into the build pipeline.

• Version Control: Git for source code management and collaboration.

CRM & Automation:

• Defect Tracking Systems: Tools like Jira, Bugzilla, or Azure Boards for logging, tracking, and managing defects and test cases.

• Test Management Tools: Potentially tools like TestRail or Zephyr for organizing test cases and test runs.

• Collaboration Platforms: Microsoft Teams, Slack for team communication.

📝 Enhancement Note: Proficiency in Python, Selenium, and pytest is non-negotiable. Experience with CI/CD integration and defect tracking systems like Jira is also highly valuable for seamless workflow integration within an enterprise QA operations setting.

👥 Team Culture & Values

Operations Values:

• Quality Focus: A deep commitment to delivering high-quality, stable, and reliable software.

• Collaboration: Strong emphasis on teamwork, open communication, and mutual support across functions.

• Innovation: Encouraging new ideas and approaches to improve testing processes, automation, and product quality.

• Accountability: Taking ownership of tasks, results, and continuous improvement.

• Customer Centricity: Understanding that quality directly impacts customer experience and satisfaction.

Collaboration Style:

• Cross-functional Integration: Proactive engagement with development, product management, and customer success teams to ensure alignment and shared understanding of quality goals.

• Feedback Exchange: A culture that encourages constructive feedback on code, processes, and product quality to foster continuous improvement.

• Knowledge Sharing: Openness to sharing best practices, techniques, and learnings within the QA team and broader engineering organization.

📝 Enhancement Note: HPE's emphasis on "Unconditional Inclusion" and "making bold moves, together" suggests a culture that values diversity, open communication, and a shared drive for innovation and success, which are positive indicators for a collaborative operations team.

⚡ Challenges & Growth Opportunities

Challenges:

• Maintaining Automation Stability: Ensuring automated test suites remain reliable and up-to-date as the platform evolves rapidly.

• Balancing Manual vs. Automated Testing: Strategically determining where automation provides the most value and effectively executing manual testing for areas not yet automated.

• Complex Cloud Environments: Testing distributed systems and cloud-native architectures can present unique challenges in setup, execution, and debugging.

• Global Stakeholder Coordination: Managing communication and collaboration across different time zones and cultural nuances with international teams.

Learning & Development Opportunities:

• Advanced Automation Techniques: Opportunities to learn and implement more sophisticated automation strategies, such as behavior-driven development (BDD) or advanced test data management.

• Cloud & Networking Specialization: Deepen knowledge in cloud computing principles, microservices architecture, and networking technologies relevant to the Mist Cloud platform.

• CI/CD Integration: Gain hands-on experience integrating automated tests into continuous integration and continuous deployment pipelines.

• Mentorship: Benefit from experienced senior engineers and QA leads who can provide guidance on technical skills and career development.

📝 Enhancement Note: The challenges presented are typical for roles in cloud-based software testing, requiring adaptability and a proactive approach to problem-solving. The growth opportunities align with industry trends, offering pathways to become a specialized QA expert or a technical leader.

💡 Interview Preparation

Strategy Questions:

• "Describe your experience building and maintaining automated test suites using Python, Selenium, and pytest. What are some best practices you follow?" (Focus on framework design, reusability, maintainability, and reporting.)

• "How would you approach testing a new REST API endpoint? Walk me through your process, including tools and validation techniques." (Emphasize request construction, parameter handling, response validation, error conditions, and security considerations.)

Company & Culture Questions:

• "What do you know about Hewlett Packard Enterprise and our Mist Cloud platform?" (Research HPE's mission, values, and the specific offerings of Mist. Show enthusiasm for the company's direction.)

• "How do you handle working in a fast-paced, dynamic environment with evolving requirements?" (Emphasize adaptability, prioritization skills, and proactive communication.)

Portfolio Presentation Strategy:

• Start with Impact: For each project, begin by stating the problem and the business impact of your solution.

• Showcase Code Quality: Be prepared to discuss the structure, modularity, and readability of your Python code.

• Detail Your Process: Explain your strategy for test case design, automation implementation, environment setup, and reporting.

• Quantify Results: Use metrics to demonstrate the value of your work (e.g., "Reduced manual testing effort by X hours," "Increased test coverage to Y%," "Caught Z critical bugs before release").

• Be Ready for Live Coding: Some interviews may include live coding exercises to assess your on-the-spot problem-solving and coding skills.

📝 Enhancement Note: Candidates should prepare to demonstrate not just their technical skills but also their understanding of software quality principles, process efficiency, and how their contributions align with business objectives. Highlighting experience with cloud platforms and agile methodologies will be advantageous.

📌 Application Steps

To apply for this Software Quality Engineer position:

• Submit your application through the provided career portal link on the HPE website.

• Tailor Your Resume: Customize your resume to highlight your 2+ years of experience in QA, specifically mentioning proficiency in Python, Selenium, pytest, and REST API testing. Use keywords from the job description.

• Prepare Your Portfolio: Gather examples of your automation projects, API test cases, and any documentation related to defect management or test planning. Be ready to present these during interviews.

• Research HPE and Mist: Understand HPE's company culture, values, and the specific technologies and products mentioned, especially the Mist Cloud platform.

• Practice Interview Questions: Rehearse answers to common QA, automation, and behavioral interview questions, focusing on providing specific examples from your experience.

⚠️ 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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