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 / Operations
Date Posted: April 15, 2026
Experience Level: 2-5 years
🚀 Role Summary
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Focus on ensuring the high quality of the Mist Cloud platform through rigorous UI and REST API testing and automation.
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Develop and maintain robust automated test suites utilizing Python-based frameworks to enhance release efficiency and reliability.
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Execute comprehensive testing cycles including staging smoke tests, production validations, and ongoing regression testing.
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Contribute to architectural analysis of UI and API to identify and implement improvements for stability and testability.
📝 Enhancement Note: This role is critical for the operational excellence of HPE's Mist Cloud platform, directly impacting customer satisfaction and product reliability. The emphasis on both UI and API testing, coupled with automation using Python, positions this as a key contributor to the GTM success by ensuring a stable and high-performing product.
📈 Primary Responsibilities
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Test, validate, and automate Web GUI and REST API functionality across the Mist Cloud platform to ensure high software quality for every release.
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Develop and maintain automated test suites for UI and API using Python-based frameworks, ensuring comprehensive coverage and efficiency.
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Perform staging smoke tests, production validations, and regression testing to guarantee product stability and prevent regressions.
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Analyze Mist UI and API architecture to identify potential quality gaps and suggest improvements for enhanced design, stability, and testability.
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Log, track, and manage defects and enhancement requests, collaborating closely with development teams for timely resolution and quality assurance.
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Maintain and update test plans to support continuous regression testing and expand automation coverage across new features and functionalities.
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Build, monitor, and maintain test environments to ensure reliable automation execution and accurate test reporting, minimizing environmental dependencies.
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Write and maintain clear, concise technical documentation for QA, Support, and Development teams, facilitating knowledge transfer and operational understanding.
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Collaborate with Customer Success teams to investigate customer-reported issues, reproduce defects, and convert them into automated regression test cases to prevent recurrence.
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Manage and prioritize multiple tasks independently while collaborating effectively with cross-functional teams in a fast-paced environment.
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Participate in team meetings during early or late hours as required to support international stakeholders and ensure global alignment.
📝 Enhancement Note: The responsibilities highlight a blend of hands-on testing, automation development, and cross-functional collaboration, typical of a mid-level Quality Engineer focused on operational delivery and product stability within a cloud platform environment.
🎓 Skills & Qualifications
Education: BE / ME / MS in Computer Science or a related discipline.
Experience: 2+ years of relevant experience in Quality Assurance or software testing.
Required Skills:
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Strong proficiency in Python programming with solid programming fundamentals for robust test development.
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Hands-on experience with Selenium for UI automation and pytest frameworks for efficient test execution and reporting.
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Proven experience testing Web applications and REST APIs, understanding of their underlying architectures and communication protocols.
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Strong written and verbal communication skills for clear reporting of defects, test status, and technical documentation.
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Good problem-solving ability with a collaborative mindset, essential for diagnosing complex issues.
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Ability to clearly communicate project status, risks, and blockers to stakeholders and management.
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Strong interpersonal skills and ability to work effectively in cross-functional teams, fostering productive relationships.
Preferred / Nice-to-Have Skills:
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Experience in UI and API troubleshooting, including debugging and root cause analysis.
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Experience writing detailed regression test cases, ensuring comprehensive test coverage.
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Familiarity with Django RESTful APIs, understanding of their structure and testing approaches.
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Knowledge of networking technologies, beneficial for understanding platform interactions and potential issues.
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Self-starter attitude with the ability to take initiative and work independently, driving tasks to completion.
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Comfortable working in a fast-paced, dynamic environment, adapting to changing priorities and project needs.
📝 Enhancement Note: The required skills emphasize core automation and testing competencies, particularly in Python, Selenium, and API testing. The preferred skills indicate a desire for candidates who can contribute more broadly to the team's technical depth and operational agility, including troubleshooting and understanding of related technologies.
📊 Process & Systems Portfolio Requirements
Portfolio Essentials:
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Demonstrate at least two significant projects showcasing end-to-end test automation development, preferably with Python, Selenium, and pytest.
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Include examples of test plans and test cases developed for complex Web GUI features and REST API endpoints.
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Provide evidence of contributions to or creation of automated test suites for regression testing, highlighting efficiency gains.
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Showcase any experience with test environment setup, maintenance, or troubleshooting, illustrating operational independence.
Process Documentation:
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Examples of clear and concise technical documentation, such as test strategy documents, API testing guides, or user manuals for test frameworks.
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Demonstrate understanding of the software development lifecycle (SDLC) and how QA processes integrate within Agile methodologies.
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Showcase experience with bug tracking systems (e.g., Jira) and test management tools, illustrating process adherence.
📝 Enhancement Note: For a role focused on quality engineering and automation, a portfolio is crucial for demonstrating practical application of skills. The emphasis should be on tangible results, process efficiency, and the ability to document and communicate technical information effectively, aligning with operational best practices.
💵 Compensation & Benefits
Salary Range: Based on industry benchmarks for a Software Quality Engineer with 2-5 years of experience in Bangalore, India, the estimated annual salary range is ₹7,00,000 to ₹14,00,000. This range accounts for the experience level, specific technical skills (Python, Selenium, API testing), and the competitive market in Bangalore for tech roles.
Benefits:
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Health & Wellbeing: Comprehensive suite of benefits supporting physical, financial, and emotional wellbeing.
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Personal & Professional Development: Investment in career growth through specific programs for knowledge expertise, skill application, and leadership development.
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Unconditional Inclusion: Commitment to an inclusive environment that celebrates individual uniqueness and values varied backgrounds.
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Flexible Work Arrangements: Flexibility to manage work and personal needs, within the hybrid model framework.
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Competitive Compensation: Including base salary, potential bonuses, and stock options as per company policy.
Working Hours: Full-time position with an expectation of approximately 40 hours per week. The hybrid model requires an average of 2 days per week in the HPE Bangalore office. Collaboration with international stakeholders may necessitate occasional work outside standard hours.
📝 Enhancement Note: The salary estimation is based on aggregated data for similar roles in Bangalore, considering the specified experience level and required technical skills. HPE's stated benefits are aligned with industry standards for large technology companies, emphasizing holistic employee well-being and career progression.
🎯 Team & Company Context
🏢 Company Culture
Industry: Technology – specifically, the global edge-to-cloud company focused on data and application management. HPE is a leader in networking solutions, cloud services, and enterprise IT infrastructure.
Company Size: Hewlett Packard Enterprise is a large enterprise, employing tens of thousands of individuals globally. This size offers stability, extensive resources, and a wide array of career paths.
Founded: Founded in 1939, HPE has a long history of innovation, evolving from a hardware manufacturer to a comprehensive technology solutions provider. This legacy suggests a culture that values experience, long-term vision, and adaptability.
Team Structure:
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The Software Quality Engineer will likely be part of a larger Quality Engineering (QE) or Software Development team focused on the Mist Cloud platform. This team is expected to be cross-functional, collaborating closely with developers, product managers, and potentially customer success engineers.
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Reporting likely falls within a standard engineering hierarchy, with a QE Lead or Engineering Manager overseeing the team's technical direction and individual performance.
Methodology:
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The team likely operates using Agile methodologies, such as Scrum or Kanban, to manage development and testing cycles efficiently.
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Emphasis will be placed on data-driven decision-making, using test results, defect trends, and performance metrics to guide quality initiatives and product improvements.
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Workflow optimization and automation are central to the team's operational strategy, aiming to streamline the release process and increase overall efficiency.
Company Website: https://www.hpe.com/
📝 Enhancement Note: HPE's established presence and commitment to innovation suggest a dynamic yet structured work environment. The emphasis on edge-to-cloud solutions indicates a forward-thinking approach to technology, and the company's long history provides a stable foundation. The team structure and methodology are geared towards efficient product development and delivery in a competitive market.
📈 Career & Growth Analysis
Operations Career Level: This role is positioned as a mid-level Software Quality Engineer (TCP_02). It requires a solid foundation in QA principles, significant practical experience in test automation (Python, Selenium, API), and the ability to work independently while contributing to team goals. The role involves not just execution but also analysis, improvement suggestions, and documentation.
Reporting Structure: The role reports to a Quality Engineering Lead or Engineering Manager. This provides direct mentorship and oversight, facilitating skill development and career progression within the QE function. Collaboration will extend to development teams and potentially product management.
Operations Impact: The Software Quality Engineer plays a crucial role in the operational success of the Mist Cloud platform. By ensuring high software quality through rigorous testing and automation, they directly contribute to:
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Customer Satisfaction: Reducing bugs and improving application performance leads to more satisfied users.
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Revenue Protection: Preventing critical defects from reaching production minimizes potential revenue loss due to service disruptions or customer churn.
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Development Efficiency: Robust automation reduces manual testing efforts, allowing developers to iterate faster and deploy more frequently.
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Brand Reputation: High-quality products enhance HPE's reputation as a reliable technology provider.
Growth Opportunities:
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Specialization: Deepen expertise in specific areas like performance testing, security testing, or advanced test automation frameworks.
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Technical Leadership: Progress to a Senior Software Quality Engineer role, mentoring junior engineers, leading automation initiatives, and driving test strategy.
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Cross-Functional Movement: Transition into roles within development, DevOps, or even product management, leveraging a strong understanding of the product lifecycle and quality principles.
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Cloud & Networking Expertise: Develop specialized knowledge in cloud infrastructure and networking technologies, areas critical to HPE's business.
📝 Enhancement Note: The TCP_02 job level indicates a solid contributor role with potential for growth. HPE's emphasis on personal and professional development suggests clear pathways for advancement, especially for those who demonstrate initiative and a commitment to mastering complex technologies like cloud platforms and networking.
🌐 Work Environment
Office Type: The role is designated as ‘Hybrid,’ with an expectation to work an average of 2 days per week from an HPE office in Bangalore. This model offers a blend of in-office collaboration and remote flexibility.
Office Location(s): Bangalore, Karnataka, India. Specific office details would be provided upon employment or during the interview process.
Workspace Context:
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The Bangalore office is expected to provide a modern, collaborative workspace designed to foster innovation and teamwork. This includes access to necessary IT infrastructure and potentially dedicated testing labs or equipment.
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The presence of various teams (engineering, QA, product management, customer success) within the office facilitates spontaneous collaboration, problem-solving sessions, and knowledge sharing.
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The hybrid nature allows for focused, individual work at home, balanced with in-person interaction for strategic discussions, team building, and complex problem-solving.
Work Schedule: The standard work schedule is full-time (approximately 40 hours/week). However, given the global nature of HPE and its stakeholders, there might be a requirement to participate in meetings or collaborate with international teams during early or late hours. This flexibility is common in multinational tech companies.
📝 Enhancement Note: The hybrid work environment at HPE in Bangalore is designed to balance the benefits of in-person collaboration with the flexibility of remote work. This setup is typical for roles requiring deep technical work and cross-functional interaction, aiming to optimize productivity and employee satisfaction.
📄 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. Be prepared to articulate your experience with Python,
Selenium, and API testing.
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Technical Interview(s): Expect one or more technical interviews. These may include:
- Coding Challenge: A live coding exercise, likely in Python, to assess your programming skills, problem-solving approach, and familiarity with testing frameworks. Be ready to write code for test automation or to debug existing code.
- Conceptual Questions: Questions about QA methodologies, test design principles, API testing concepts, and your experience with the SDLC and Agile.
- System Design/Architecture: Discussion around how you would approach testing a complex system like the Mist Cloud platform, including identifying testable components and potential risks.
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Portfolio Review: You may be asked to present specific projects from your portfolio, explaining your role, the challenges, the solutions implemented, and the impact of your work. Focus on demonstrating your automation strategy and results.
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Manager/Team Interview: A final interview with the hiring manager and potentially team members to assess overall fit, communication skills, and alignment with team dynamics.
Portfolio Review Tips:
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Quantify Impact: For each project, clearly state the problem you solved, the solution you implemented, and the measurable results (e.g., reduced test execution time by X%, increased test coverage by Y%, reduced critical defects by Z%).
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Showcase Automation: Highlight your Python automation scripts, explain the frameworks used (Selenium, pytest), and demonstrate how you built maintainable and scalable test suites.
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API Testing Focus: Include examples of API testing, detailing the tools used (e.g., Postman, Python libraries), the types of tests performed (functional, integration, negative), and how you handled test data and assertions.
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Clarity and Conciseness: Present your portfolio in a clear, organized manner. Be ready to walk through code snippets, test plans, and defect reports.
Challenge Preparation:
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Python Fundamentals: Brush up on Python syntax, data structures, object-oriented programming, and common libraries. Practice writing functions and classes.
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Selenium & pytest: Understand the core concepts of Selenium WebDriver and how to use pytest for test organization, fixtures, assertions, and reporting.
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API Testing: Review HTTP methods (GET, POST, PUT, DELETE), status codes, request/response structures (JSON), and common testing scenarios.
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Problem-Solving Scenarios: Practice common coding challenges, algorithm questions, and scenario-based problem-solving relevant to software testing.
📝 Enhancement Note: The interview process for a Quality Engineer at HPE will likely be rigorous, focusing heavily on practical coding skills, automation expertise, and a structured approach to problem-solving and quality assurance. A well-prepared portfolio showcasing tangible achievements in UI and API automation is essential.
🛠 Tools & Technology Stack
Primary Tools:
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Programming Language: Python (primary for automation scripting and framework development).
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UI Automation: Selenium WebDriver (for browser automation and UI testing).
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Test Framework: pytest (for test execution, reporting, and management).
Analytics & Reporting:
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Test Reporting Tools: Integrated within pytest or potentially external tools for generating comprehensive test execution reports.
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Defect Tracking: Likely Jira or a similar issue tracking system for logging, managing, and tracking defects and enhancements.
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CI/CD Integration: Experience with tools like Jenkins or GitLab CI for integrating automated tests into the CI/CD pipeline is highly beneficial.
CRM & Automation:
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While not directly a CRM role, familiarity with how CRM systems integrate with broader platforms or how customer data might be indirectly impacted by platform quality is useful.
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API Testing Tools: Postman or similar tools for manual API exploration and testing, complementing automated API tests.
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Version Control: Git (or similar) for managing code and test scripts.
📝 Enhancement Note: The core technology stack revolves around Python, Selenium, and pytest for automation. Proficiency in these tools, along with experience in CI/CD integration and version control, is critical for success in this role and for contributing to efficient GTM operations.
👥 Team Culture & Values
Operations Values:
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Quality First: A core value of ensuring the highest possible software quality through diligent testing and automation. This translates to a commitment to thoroughness and attention to detail in all QA tasks.
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Innovation & Continuous Improvement: Encouraging the exploration of new tools, techniques, and methodologies to enhance testing processes, automation efficiency, and product quality. This aligns with HPE's broader culture of advancing what's next.
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Collaboration & Teamwork: Fostering a supportive environment where team members work together effectively across functions to achieve common goals, share knowledge, and solve complex problems.
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Accountability & Ownership: Taking responsibility for assigned tasks, projects, and the overall quality of the product. This includes proactive identification of issues and driving them to resolution.
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Data-Driven Approach: Utilizing test results, metrics, and feedback to inform decisions, identify areas for improvement, and measure the impact of QA efforts.
Collaboration Style:
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Cross-functional Integration: Expect close collaboration with developers, product managers, and customer success teams. This involves frequent communication, participation in planning and review meetings, and a shared responsibility for product quality.
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Process Review Culture: An openness to discussing and refining existing processes, including test strategies, automation workflows, and defect management, to drive continuous improvement.
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Knowledge Sharing: A culture that encourages sharing best practices, technical insights, and learnings through team meetings, documentation, and informal discussions to elevate the entire team's capabilities.
📝 Enhancement Note: HPE's stated values and the nature of the role suggest a collaborative, quality-focused, and improvement-driven team environment. The emphasis on "unconditional inclusion" and "varied backgrounds" indicates a commitment to diversity and a welcoming atmosphere for all team members.
⚡ Challenges & Growth Opportunities
Challenges:
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Maintaining Automation Robustness: As the Mist Cloud platform evolves, keeping UI and API automation suites up-to-date, stable, and efficient can be challenging. This requires continuous refactoring and adaptation.
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Complex System Interactions: Testing a cloud platform involves understanding intricate dependencies and interactions between various services. Identifying and simulating these scenarios effectively is a key challenge.
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Fast-Paced Development Cycles: Working within Agile sprints means delivering high-quality testing and automation under tight deadlines, requiring efficient time management and prioritization.
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Global Stakeholder Coordination: Collaborating with international teams may involve navigating different time zones, communication styles, and technical standards.
Learning & Development Opportunities:
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Advanced Automation Techniques: Opportunities to learn and implement more sophisticated automation strategies, including AI-driven testing, parallel execution, and performance testing integration.
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Cloud & Networking Deep Dive: Gaining in-depth knowledge of cloud architecture, networking protocols, and security best practices relevant to HPE's Mist platform.
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Leadership Development: Potential to move into senior roles, leading test initiatives, mentoring junior engineers, and contributing to strategic test planning.
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Industry Certifications: Support for pursuing relevant certifications in software testing, cloud technologies, or Agile methodologies.
📝 Enhancement Note: The role presents opportunities to tackle complex technical challenges in a cutting-edge cloud environment. The growth path is structured, enabling specialization, technical leadership, and broad understanding of HPE's core technology offerings.
💡 Interview Preparation
Strategy Questions:
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"Describe a complex UI or API you've tested. What was your approach to ensuring its quality, and what challenges did you face?" (Focus on your process, tools, and problem-solving).
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"How would you design an automated test suite for a new feature on the Mist Cloud platform? What would be your initial steps, and which frameworks would you leverage?" (Demonstrate structured thinking and tool proficiency).
Company & Culture Questions:
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"What do you know about Hewlett Packard Enterprise and the Mist Cloud platform?" (Research HPE's mission, products, and the specific role of Mist).
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"How do you approach collaboration with developers and other cross-functional teams?" (Emphasize your teamwork and communication skills).
Portfolio Presentation Strategy:
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Storytelling: Frame your portfolio projects as stories: the challenge, your innovative solution (automation), and the positive outcome (improved quality, efficiency).
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Quantify Everything: Use metrics to demonstrate the impact of your work. For example, "Implemented a Python-based regression suite that reduced manual testing time by 60%."
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Code Walkthrough: Be prepared to share and explain key parts of your automation code, demonstrating code quality, structure, and understanding of the underlying logic.
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Focus on Relevance: Tailor your presentation to highlight experience with Python, Selenium, pytest, and API testing, as these are key requirements for the role.
📝 Enhancement Note: Prepare to discuss your experience using the STAR method (Situation, Task, Action, Result) for behavioral questions. For technical questions, be ready to articulate your thought process, not just the final answer. Your portfolio is your strongest asset; practice presenting it clearly and confidently.
📌 Application Steps
To apply for this operations position:
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Submit your application through the HPE careers portal via the provided link.
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Customize Your Resume: Ensure your resume clearly highlights your experience with Python, Selenium, pytest, REST API testing, and UI automation. Use keywords from the job description and quantify your achievements with metrics.
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Prepare Your Portfolio: Curate 2-3 key projects that best demonstrate your automation skills, problem-solving abilities, and impact. Be ready to present and discuss these in detail during interviews.
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Research HPE & Mist Cloud: Understand HPE's business, its edge-to-cloud strategy, and the specific function and value proposition of the Mist Cloud platform. This will help you tailor your answers and demonstrate genuine interest.
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Practice Interview Questions: Rehearse answers to common technical and behavioral questions, focusing on demonstrating your operational mindset, problem-solving skills, and collaborative approach.
⚠️ 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
Candidates must have at least 2 years of experience in quality assurance and a degree in Computer Science or a related field. Strong proficiency in Python programming and hands-on experience with Selenium and pytest frameworks are required.