Quality Assurance Engineer - Cloud, UI & API

📍 Job Overview

Job Title: Quality Assurance Engineer - Cloud, UI & API Company: Hewlett Packard Enterprise Location: Cupertino, California, United States Job Type: FULL_TIME Category: Quality Assurance / Software Testing Date Posted: 2026-05-15 Experience Level: 5-10 years Remote Status: Hybrid (3 days in office)

🚀 Role Summary

• This role focuses on ensuring the quality and reliability of Hewlett Packard Enterprise's cloud-based products, specifically within the Mist product line, through rigorous UI and API testing.
• Combines Quality Assurance engineering with Customer Success responsibilities, requiring a dual focus on technical validation and direct customer issue resolution.
• Involves significant test automation development and maintenance using Python and associated frameworks to enhance efficiency and product release cycles.
• Demands strong analytical and problem-solving skills to investigate, reproduce, and track customer-reported defects and product enhancements.
• Requires collaboration with cross-functional teams, including development and product management, to drive continuous product improvement based on QA findings and customer feedback.

📝 Enhancement Note: The "Customer Success Engineer" aspect of the title, combined with "investigate and resolve queries" and "customer issue reproduction," strongly suggests this role bridges traditional QA with a proactive customer support function. This hybrid nature is critical for candidates to understand, as it requires not only technical testing prowess but also strong communication and problem-solving skills tailored to customer interactions. Given the "Mist product line" context, deep understanding of network infrastructure and cloud platforms will be advantageous.

📈 Primary Responsibilities

• Execute and automate comprehensive UI (Web GUI) and REST API test cases across staging and production environments to support regular product releases and maintain high quality standards.
• Proactively investigate, reproduce, and analyze customer-reported issues, providing clear, consistent updates and driving towards timely resolution to ensure exceptional customer satisfaction.
• Log, track, and manage defects and enhancement requests within the development lifecycle, collaborating closely with software engineers to ensure prompt and effective resolution.
• Develop and maintain detailed test plans, including regression testing strategies, to expand automated test coverage and ensure product integrity across releases.
• Build, monitor, and maintain robust test environments to guarantee reliable automation execution, accurate test result reporting, and efficient debugging.
• Create and update clear, concise technical documentation for QA and Support teams, ensuring knowledge transfer and standardized operational procedures.
• Independently and collaboratively manage multiple tasks and projects within cross-functional teams, prioritizing effectively to meet deadlines in a fast-paced, agile development environment.
• Actively participate in team meetings, potentially including early or late hours, to support international teams and customer time zones, fostering global collaboration.

📝 Enhancement Note: The emphasis on "staging and production environments" and "regular releases" points to a CI/CD pipeline involvement. The need to "build, monitor, and maintain test environments" suggests responsibility for the QA infrastructure itself, not just test execution. The requirement to join meetings across time zones highlights the global nature of HPE's customer base and development efforts.

🎓 Skills & Qualifications

Education:

• Bachelor's or Master's degree in Computer Science, Information Systems, or a closely related technical field.

Experience:

• A minimum of 5 years of combined experience in Quality Assurance, software testing, Customer Support, or related engineering roles.
• Demonstrated experience (3+ years) in developing and executing detailed regression test cases.
• Proven experience (3+ years) in UI and/or API troubleshooting and defect analysis.

Required Skills:

• U.S. citizenship is a mandatory requirement for this position.
• Python Programming: Proficient and demonstrable experience (3+ years) in Python for test automation and scripting.
• Test Automation Frameworks: Familiarity with Selenium for UI automation and pytest for test execution and reporting.
• API Testing: Experience with Django RESTful API and general REST API troubleshooting.
• Networking Fundamentals: Basic knowledge of L2/L3 networking concepts.
• Defect Management: Experience in logging, tracking, and managing software defects and enhancements.
• Analytical Skills: Excellent analytical and problem-solving abilities with a meticulous, detail-oriented approach.
• Initiative & Resourcefulness: Demonstrated ability to take initiative and find resourceful solutions to complex problems.
• Communication: Strong written and verbal communication skills for clear reporting and collaboration.
• Teamwork: Proven ability to collaborate effectively within cross-functional teams and communicate project status, risks, and dependencies clearly.

Preferred Skills:

• Experience with cloud platforms and services (e.g., AWS, Azure, GCP).
• Familiarity with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI).
• Knowledge of containerization technologies (e.g., Docker, Kubernetes).
• Experience with performance testing or security testing methodologies.
• Understanding of agile development methodologies.

📝 Enhancement Note: The explicit requirement for U.S. citizenship is a critical filter for applicants. The blend of specific Python/Selenium/pytest requirements with broader "UI and/or API troubleshooting" suggests a need for both hands-on coding and strong debugging capabilities. The "basic L2/L3 networking knowledge" is particularly relevant given the "Mist product line," which is known for its AI-driven wireless networking solutions.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase examples of test automation scripts developed using Python, demonstrating proficiency with Selenium and pytest for UI and API testing.
• Include case studies or project descriptions that highlight your experience in investigating and resolving complex customer-reported issues, detailing the troubleshooting process and resolution.
• Present examples of test plans and regression test suites you have designed and maintained, emphasizing breadth of coverage and efficiency.
• Demonstrate experience in setting up, configuring, and maintaining test environments, including any relevant infrastructure as code or automation scripts used.
• Provide evidence of contributions to technical documentation, such as test procedure guides, API documentation, or customer-facing troubleshooting articles.

Process Documentation:

• Detail your methodology for developing and maintaining comprehensive test plans for new features and regression cycles.
• Explain your approach to defect logging, tracking, and management, including collaboration with development teams for resolution and verification.
• Illustrate your process for reproducing customer issues, from initial report analysis to root cause identification and communication.
• Describe how you contribute to the improvement of QA processes and automation strategies to enhance efficiency and product quality.

📝 Enhancement Note: For this hybrid QA/Customer Success role, a portfolio should emphasize not just code quality but also the impact of that code on customer experience and product stability. Case studies demonstrating problem-solving for customer-facing issues, especially those involving UI or API interactions, will be highly valued.

💵 Compensation & Benefits

Salary Range:

• United States of America (California): Annual Salary USD 105,500 - 213,500.
• This range reflects base salary. Actual compensation will be determined by factors including geographic location, work experience, education, and skill level.
• Variable incentives may also be offered in addition to base salary.

Benefits:

• Comprehensive Health & Wellbeing benefits, including medical, dental, and vision insurance.
• Financial Wellbeing support programs.
• Emotional Wellbeing support services.
• Robust Personal & Professional Development programs, including opportunities for career advancement and skill specialization.
• Opportunities to apply skills across different divisions within HPE.

Working Hours:

• Standard full-time role (assumed 40 hours per week).
• Requires flexibility to join team meetings three times per week during early or late hours to support international teams and customers.
• This is an "Onsite" role with an expectation to work from the HPE office in Cupertino, CA, 3+ days per week.

📝 Enhancement Note: The salary range provided by HPE is quite broad, indicating significant variation based on experience and specific skill alignment. Candidates should be prepared to articulate their value proposition to justify compensation at the higher end of the spectrum. The requirement for early/late meetings implies a need for strong time management and adaptability.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Edge-to-Cloud Networking, IT Infrastructure, Software) Company Size: Hewlett Packard Enterprise is a large global enterprise, with tens of thousands of employees worldwide. This scale offers opportunities for diverse projects and career paths. Founded: Founded in 2015 (as a spin-off from Hewlett-Packard), HPE has a history of innovation in enterprise technology.

Team Structure:

• This role is part of the Customer Success Quality Assurance (CSQA) team, likely within the Mist product line engineering or support division.
• The team collaborates closely with Software Development Engineers, Product Managers, and Customer Support specialists.
• The reporting structure is likely within an engineering or operations management hierarchy, with potential dotted-line reporting for customer success aspects.

Methodology:

• Data-Driven Approach: HPE emphasizes data analysis to drive insights and decision-making, crucial for QA and customer success.
• Agile & Iterative Development: The company operates in a fast-paced environment, likely utilizing agile methodologies for product development and release cycles.
• Customer-Centricity: A strong focus on customer experience and satisfaction is evident through the CSQA team structure and responsibilities.
• Innovation & Edge-to-Cloud Strategy: HPE is focused on advancing solutions from the edge to the cloud, requiring continuous innovation in its product offerings and testing strategies.

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

📝 Enhancement Note: HPE's "edge-to-cloud" strategy means this role is at the forefront of modern IT infrastructure. The company's culture emphasizes innovation, inclusion, and professional growth, which should be reflected in how candidates present themselves. The "Mist product line" is a key area of focus for HPE's AI-driven networking solutions, suggesting a technically advanced and dynamic environment.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as an experienced engineer (TCP_03 level), requiring 5+ years of experience. It's a hands-on individual contributor role that bridges technical QA expertise with customer-facing responsibilities. It offers a path to become a subject matter expert in QA for cloud products and customer issue resolution.

Reporting Structure: The role likely reports to a QA Manager or Engineering Lead within the Mist product line. Collaboration will be extensive with cross-functional teams, including development, product management, and customer support.

Operations Impact: The QA Engineer directly impacts product quality, customer satisfaction, and the efficiency of the release cycle. By ensuring robust UI and API functionality and resolving customer issues, they contribute significantly to HPE's reputation and revenue, particularly within the competitive cloud and networking solutions market. Their feedback loop to engineering helps shape product roadmap and improve user experience.

Growth Opportunities:

• Technical Specialization: Deepen expertise in cloud testing, API automation, specific networking protocols, and advanced Python development.
• Customer Advocacy: Transition into more senior customer success or technical account management roles, leveraging product and customer issue expertise.
• Leadership: Progress into Lead QA Engineer, QA Manager, or Technical Program Manager roles, overseeing teams and strategic quality initiatives.
• Cross-Functional Mobility: Opportunities to move into Product Management, Development, or other engineering disciplines within HPE.
• Continuous Learning: Access to HPE's professional development programs for skill enhancement and certifications.

📝 Enhancement Note: The "TCP_03" job level suggests a mid-to-senior individual contributor role. The growth opportunities highlight the potential for both technical depth and managerial advancement within HPE's structured career paths. Candidates should consider how their experience aligns with these progression pathways.

🌐 Work Environment

Office Type: This is an "Onsite" role requiring 3+ days per week in the HPE office located in Cupertino, California. The office environment is expected to be professional and collaborative.

Office Location(s): Cupertino, California, United States. This location is in the heart of Silicon Valley, offering access to a vibrant tech ecosystem.

Workspace Context:

• Collaborative Environment: Expect a dynamic workspace designed for team collaboration, including potential for cross-functional team interactions.
• Tools & Technology: Access to HPE's standard IT infrastructure, development tools, and testing environments.
• Team Interaction: Opportunities to engage directly with QA engineers, developers, product managers, and potentially customer support teams on a daily basis.
• Hybrid Work Model: The hybrid arrangement allows for focused work at home and collaborative, in-person interaction at the office.

Work Schedule: The role is full-time, with an expectation of availability for team meetings across different time zones (early/late hours) three times a week. This requires a flexible approach to daily scheduling.

📝 Enhancement Note: The "Onsite" designation with a hybrid expectation (3 days/week) is crucial. Candidates must be willing and able to commute to the Cupertino office regularly. The need for early/late hour meetings underscores the global nature of HPE's operations and requires candidates to be comfortable with non-standard work hours on certain days.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a phone screen with an HR representative or recruiter to assess basic qualifications, interest, and alignment with role requirements (including U.S. citizenship).
• Technical Interview(s): Expect one or more interviews focusing on technical skills. This may include:
  • Coding Exercise: Live coding session or take-home assignment in Python, focusing on test automation script development (e.g., using Selenium/pytest).
  • API Testing Scenarios: Questions about troubleshooting API issues, designing API tests, and understanding RESTful principles.
  • Troubleshooting & Debugging: Scenarios involving reproducing customer issues or identifying root causes in complex systems.
  • Networking Concepts: Questions to assess basic L2/L3 networking knowledge.
• Portfolio Review: A session where you present examples from your portfolio, explaining your role, methodologies, and the impact of your work on previous projects.
• Behavioral/Situational Interview: Questions assessing your problem-solving approach, teamwork, communication skills, initiative, and how you handle customer interactions and pressure.
• Hiring Manager Interview: Final discussion with the hiring manager to assess overall fit, career aspirations, and alignment with team and company culture.

Portfolio Review Tips:

• Focus on Impact: For each project, clearly articulate the problem, your solution (especially automation and troubleshooting), the results (e.g., defects found, issues resolved, efficiency gained), and the business impact.
• Code Quality: Ensure any code samples are well-structured, commented, and follow best practices. Highlight the specific Python libraries and frameworks used.
• Process Walkthrough: Be prepared to walk through your test plans, defect reports, and documentation examples, explaining your thought process and methodology.
• Customer-Centricity: For customer-facing issues, emphasize your communication strategy, empathy, and how you ensured customer satisfaction.
• Tailor to HPE: Research HPE's Mist product line and common cloud/API challenges to tailor your examples and explanations.

Challenge Preparation:

• Python Automation: Practice writing Python scripts for UI automation (e.g., simulating user flows on a web page) and API testing (e.g., making requests, asserting responses).
• API Troubleshooting: Be ready to discuss common API errors (e.g., 4xx, 5xx status codes) and how you'd debug them.
• Networking Scenarios: Review basic concepts like IP addressing, subnets, routing, and common network issues.
• Hypothetical Scenarios: Prepare for questions like "How would you test a new feature in our cloud platform?" or "A customer reports intermittent login failures; how would you approach this?"

📝 Enhancement Note: The hybrid nature of the role means interviewers will look for both strong technical QA skills and excellent communication/customer-handling abilities. The portfolio is key to demonstrating practical application of skills, especially Python automation and troubleshooting.

🛠 Tools & Technology Stack

Primary Tools:

• Programming Language: Python (essential, 3+ years experience required)
• UI Automation: Selenium
• Test Frameworks: pytest
• API Development/Testing: Django RESTful API, general REST API tools (e.g., Postman, Insomnia, or custom scripts)

Analytics & Reporting:

• Test Reporting: pytest's built-in reporting capabilities, potentially integrated with CI/CD dashboards.
• Defect Tracking: Likely Jira or a similar issue tracking system.
• Metrics Collection: Tools for tracking test execution status, defect trends, and automation coverage.

CRM & Automation:

• Customer Interaction Tools: While not explicitly stated, experience with CRM systems or customer support platforms (e.g., Salesforce, Zendesk) may be beneficial for understanding customer contexts.
• CI/CD Tools: Familiarity with Jenkins, GitLab CI, or similar for automated test execution and deployment pipelines.
• Environment Management: Tools or scripting for building and maintaining test environments.

📝 Enhancement Note: Proficiency in Python, Selenium, and pytest is non-negotiable. The mention of Django RESTful API suggests a preference for experience within that specific framework, though general REST API knowledge is also valued. Understanding how these tools integrate into a CI/CD pipeline will be a significant advantage.

👥 Team Culture & Values

Operations Values:

• Quality First: A deep commitment to delivering high-quality, reliable software through rigorous testing and validation.
• Customer Focus: Prioritizing customer satisfaction and actively working to resolve their issues and improve their experience.
• Collaboration & Teamwork: Fostering a supportive environment where team members work together, share knowledge, and help each other succeed.
• Innovation & Continuous Improvement: Embracing new technologies and methodologies to enhance testing processes, automation, and product functionality.
• Accountability & Ownership: Taking responsibility for tasks, outcomes, and proactively addressing challenges.

Collaboration Style:

• Cross-Functional Integration: Strong emphasis on working closely with development, product management, and customer support teams to ensure alignment and rapid issue resolution.
• Open Communication: Encouraging transparent and honest communication about project status, risks, and findings.
• Feedback Culture: Valuing constructive feedback to drive personal and team growth, as well as product improvements.
• Proactive Problem Solving: A culture of identifying potential issues early and working collaboratively to find solutions before they impact customers or releases.

📝 Enhancement Note: HPE's stated values of "Unconditional Inclusion," "We make bold moves, together," and valuing "varied backgrounds" suggest a culture that is both collaborative and diverse. Candidates should demonstrate how they embody these values in their work ethic and interactions.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing QA and Customer Support: Effectively managing time and priorities between proactive testing/automation and reactive customer issue resolution.
• Complex Cloud Environments: Navigating and testing intricate cloud-based architectures and distributed systems.
• Rapid Release Cycles: Keeping pace with frequent product updates and ensuring comprehensive test coverage in a fast-moving development environment.
• International Teams & Customers: Adapting to diverse time zones and communication styles while supporting a global customer base.
• Maintaining Automation: Ensuring test automation suites remain robust, relevant, and efficient as the product evolves.

Learning & Development Opportunities:

• Advanced Automation Techniques: Opportunities to explore more sophisticated automation strategies, performance testing, and potentially security testing.
• Cloud & Networking Expertise: Deepen knowledge of cloud technologies and HPE's Mist AI networking solutions.
• Customer Success Skills: Develop advanced troubleshooting, communication, and customer relationship management skills.
• Mentorship: Access to experienced engineers and leaders within HPE for guidance and career advice.
• Formal Training: Participation in HPE's professional development programs for skill enhancement and potential certifications.

📝 Enhancement Note: The challenges highlight the dynamic and demanding nature of the role. Candidates who thrive in environments with shifting priorities and complex technical landscapes will be well-suited. The growth opportunities are significant, offering pathways for both technical specialization and broader career development within a large enterprise.

💡 Interview Preparation

Strategy Questions:

• "Describe your approach to testing a complex cloud application with both UI and API components. How would you prioritize your efforts?" (Focus on a structured methodology, risk-based testing, and automation strategy.)
• "A customer reports an intermittent bug that you cannot reproduce. What steps would you take to investigate and resolve this issue?" (Emphasize data gathering, log analysis, collaboration with development/support, and creative troubleshooting.)
• "How do you ensure your test automation scripts remain effective and maintainable as the application evolves?" (Discuss modular design, clear assertions, error handling, and regular refactoring.)

Company & Culture Questions:

• "Why are you interested in Quality Assurance and Customer Success, and why HPE?" (Connect your skills and career goals to the role and company mission, mentioning HPE's edge-to-cloud focus.)
• "How do you handle working with international teams across different time zones?" (Highlight your flexibility, communication strategies, and experience with asynchronous collaboration.)
• "Describe a time you had to collaborate with developers to resolve a critical bug. What was your role and the outcome?" (Focus on communication, problem-solving, and achieving a shared goal.)

Portfolio Presentation Strategy:

• Structure Your Narrative: For each portfolio item, use the STAR method (Situation, Task, Action, Result). Clearly define the problem, your specific contribution, the actions you took (especially regarding automation or troubleshooting), and the quantifiable results.
• Showcase Code & Process: Be prepared to share snippets of your Python automation code and walk through your test plans or documentation examples. Explain why you made certain design choices.
• Highlight Impact: Quantify your achievements whenever possible (e.g., "Reduced manual regression testing time by X%", "Identified Y critical bugs before release," "Resolved Z customer escalations within SLA").
• Demonstrate Customer Empathy: If presenting customer issue resolution, articulate how you managed customer expectations and ensured their satisfaction throughout the process.

📝 Enhancement Note: Interviewers will be looking for a candidate who can not only code and test effectively but also think critically, communicate clearly, and operate effectively within a global, customer-focused engineering team. Demonstrating initiative and a proactive problem-solving mindset will be key.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Hewlett Packard Enterprise careers portal via the provided URL.
• Tailor Your Resume: Optimize your resume to highlight your 5+ years of QA experience, specific proficiency in Python, Selenium, pytest, and API testing, and any experience in customer support or troubleshooting. Use keywords from the job description.
• Prepare Your Portfolio: Curate 2-3 key projects that showcase your Python test automation skills, experience with UI and API testing, and examples of troubleshooting complex issues. Be ready to discuss the technical details, your process, and the impact of your work.
• Practice Interview Questions: Rehearse answers to common QA, Python coding, API troubleshooting, and behavioral questions. Prepare to discuss your experience with cloud environments and networking.
• Research HPE & Mist: Understand HPE's edge-to-cloud strategy, their focus on AI-driven networking with the Mist product line, and their company values to tailor your responses and demonstrate genuine interest.

⚠️ 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.