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 Engineering

Date Posted: May 15, 2026

Experience Level: 5-10 Years

🚀 Role Summary

• This role focuses on ensuring the quality of cloud-based applications, specifically the Mist product line, through rigorous UI and API testing and automation.

• Combines Quality Assurance (QA) responsibilities with direct Customer Success engagement, requiring a blend of technical testing skills and a customer-centric approach.

• Involves hands-on development and execution of test cases, automation scripts, and direct troubleshooting of customer-reported issues.

• Requires U.S. citizenship and a commitment to an onsite work arrangement in Cupertino, CA, with hybrid flexibility.

📝 Enhancement Note: While the title is "Quality Assurance Engineer," the inclusion of "Customer Success" in the description and the emphasis on investigating and resolving customer queries indicate a hybrid role that bridges traditional QA with post-sales technical support and advocacy. This duality is crucial for candidates to understand. The "Onsite" designation with a "Hybrid" AI classification suggests a requirement for a minimum number of days in the office (3 days per week) rather than a fully remote or fully in-office position.

📈 Primary Responsibilities

• Test Automation & Execution: Develop, execute, and maintain automated tests for Web GUI and REST API functionalities across staging and production environments for the Mist product line, ensuring high product quality for regular releases.

• Customer Issue Resolution: Investigate, reproduce, and troubleshoot customer-reported issues, providing clear, consistent updates and timely resolutions to drive customer satisfaction and retention.

• Defect & Enhancement Management: Log, track, and manage defects and feature enhancements, collaborating closely with development teams to ensure prompt resolution and product improvement.

• Feedback Loop Integration: Act as a conduit for customer insights and feedback, sharing critical information with product management and engineering teams to influence product roadmap and continuous improvement initiatives.

• Test Plan Development & Maintenance: Create, update, and maintain comprehensive test plans to support regression testing efforts and expand automated test coverage, ensuring thorough validation of new features and existing functionalities.

• Test Environment Management: Build, monitor, and maintain robust test environments to guarantee reliable automation execution and accurate reporting of test results, minimizing downtime and ensuring test integrity.

• Technical Documentation: Author and maintain clear, concise, and user-focused technical documentation for both QA and Customer Support teams, facilitating knowledge transfer and consistent support processes.

• Prioritization & Collaboration: Independently and collaboratively manage multiple tasks and projects, prioritizing effectively to meet deadlines in a fast-paced, dynamic environment.

📝 Enhancement Note: The responsibilities highlight a dual focus on proactive quality assurance (testing, automation, environment management) and reactive customer support (issue reproduction, resolution, feedback). This requires a candidate who can seamlessly switch between these modes and effectively communicate with both internal engineering teams and external customers.

🎓 Skills & Qualifications

Education:

Experience:

Required Skills:

• U.S. Citizenship: Mandatory requirement for this role.

• Python Proficiency: Proficient in Python programming with 3+ years of hands-on experience.

• UI/API Troubleshooting: 3+ years of experience in troubleshooting and testing both User Interface (UI) and Application Programming Interface (API) functionalities.

• Test Case Development: 3+ years of experience in writing detailed regression test cases.

• Automation Frameworks: Familiarity with Selenium and pytest testing frameworks.

• API Familiarity: Familiarity with Django RESTful API.

• Networking Fundamentals: Basic L2/L3 networking knowledge.

• Analytical & Problem-Solving: Excellent analytical and problem-solving abilities with a keen attention to detail.

• Proactiveness: Demonstrated ability to take initiative and be resourceful in problem-solving.

• Communication: Strong written and verbal communication skills, essential for clear reporting and customer interaction.

• Collaboration: Proven ability to collaborate effectively within cross-functional teams, identify risks, and communicate project status clearly.

• Adaptability: Comfortable working across diverse teams in a fast-paced environment.

• Meeting Availability: Must be available for team meetings three times a week during early or late hours to support international teams and customers.

Preferred Skills:

• Solid foundation in programming concepts and software development best practices.

• Experience with cloud platforms and cloud-native application testing.

• Experience with CI/CD pipelines and integration testing strategies.

• Familiarity with bug tracking and project management tools (e.g., JIRA).

📝 Enhancement Note: The requirement for U.S. citizenship is a critical filter and should be upfront. The emphasis on Python, Selenium, pytest, and Django RESTful API indicates a need for hands-on technical skills in a specific tech stack. Basic L2/L3 networking knowledge is important for troubleshooting issues in a cloud and network-centric product like Mist. The "meeting availability" requirement implies a global support model and requires candidates to be flexible with their working hours.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Test Automation Scripts: Demonstrations of automated test scripts written in Python using frameworks like Selenium and pytest for UI and API testing.

• API Testing Examples: Case studies or examples showcasing experience with testing RESTful APIs, potentially using Django REST framework or similar tools.

• Regression Test Suites: Evidence of developing and maintaining comprehensive regression test suites, illustrating thoroughness and attention to detail.

• Troubleshooting Case Studies: Examples of how complex UI or API issues were investigated, reproduced, and resolved, highlighting analytical and problem-solving skills.

• Technical Documentation Samples: Samples of technical documentation created for QA processes, test plans, or customer support materials.

Process Documentation:

• Workflow Design: Ability to document and optimize workflows for testing, defect management, and customer issue resolution processes.

• Automation Implementation: Documentation of the implementation process for test automation, including setup, execution, and reporting.

• Performance Analysis: Examples of how test results and customer feedback are analyzed to identify trends, risks, and areas for improvement.

📝 Enhancement Note: For a role blending QA and Customer Success, a portfolio should showcase not only technical testing prowess but also the ability to translate technical findings into actionable insights for both internal teams and external customers. The emphasis on Python, Selenium, and pytest means candidates should be prepared to discuss their code and automation strategies.

💵 Compensation & Benefits

Salary Range:

• United States of America (California): Annual Salary USD 105,500 - 213,500

• Explanation: This range is provided by HPE and reflects variations based on geographic location, work experience, education, and skill level. The listed range is for base salary; variable incentives may also be offered.

Benefits:

• Health & Wellbeing: Comprehensive suite of benefits supporting physical, financial, and emotional wellbeing.

• Personal & Professional Development: Specific programs designed for career growth, knowledge expertise, and skill application across divisions.

• Unconditional Inclusion: A culture that celebrates individual uniqueness and supports work-life flexibility.

• Employee Benefits Information: Detailed information available at https://myhperewards.com/main/new-hire-enrollment.html

Working Hours:

• Standard full-time hours, with an expectation of flexibility to join team meetings three times a week during early or late hours to accommodate international teams and customers.

📝 Enhancement Note: The salary range provided by HPE is broad, indicating significant compensation variation based on the candidate's experience and specific qualifications. The company emphasizes a holistic benefits package, focusing on employee wellbeing and career development, which are key attractors for engineering professionals. The flexible meeting schedule is a significant factor for work-life balance considerations.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Edge-to-Cloud Solutions, Networking (specifically within the Mist product line).

Company Size: Hewlett Packard Enterprise is a large, global technology company. While the exact size of the specific team isn't detailed, the company's overall scale implies access to vast resources and a broad organizational structure.

Founded: Hewlett Packard Enterprise was formed in 2015, though its roots trace back to the original Hewlett-Packard company founded in 1939. This provides a foundation of innovation and established presence in the tech industry.

Team Structure:

• The role is within the CSQA (Customer Success Quality Assurance) team, indicating a direct collaboration between QA engineers and customer-facing success teams.

• This team likely works closely with Product Management and Engineering departments to ensure product quality and customer satisfaction.

Methodology:

• Data-Driven Quality: Emphasis on rigorous testing, automation, and data analysis to ensure product quality and identify areas for improvement.

• Customer-Centricity: A strong focus on understanding and addressing customer needs, issues, and feedback to drive product enhancements and customer loyalty.

• Agile Development Support: The fast-paced environment and regular releases suggest an agile or iterative development methodology.

• Collaborative Problem-Solving: Encourages working across functional teams to tackle complex challenges.

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

📝 Enhancement Note: HPE's positioning as a global edge-to-cloud company implies a focus on cutting-edge technology and complex solutions. The "CSQA" team structure suggests a proactive approach to quality that is deeply integrated with customer outcomes, moving beyond traditional siloed QA.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at an experienced individual contributor level (TCP_03), requiring 5+ years of experience. It offers a blend of technical depth in QA and customer interaction, providing a unique growth path.

Reporting Structure:

Operations Impact:

• Directly impacts customer satisfaction and retention by ensuring the quality of the Mist product line and resolving critical customer issues.

• Contributes to product improvement by providing valuable customer feedback to engineering and product teams.

Growth Opportunities:

• Technical Specialization: Deepen expertise in cloud testing, API automation, and specific technologies like Python, Selenium, and Django.

• Customer Advocacy: Develop stronger customer-facing skills, becoming a key point of contact for technical issue resolution and product feedback.

• Process Improvement: Lead initiatives to enhance QA processes, automation strategies, and customer support workflows.

• Cross-Functional Leadership: Opportunity to influence product development and customer success strategies through active participation and feedback.

• Potential Advancement: Progression could lead to Senior QA Engineer, Lead QA Engineer, Customer Success Technical Lead, or management roles within QA or Customer Success organizations.

📝 Enhancement Note: The hybrid nature of this role offers a distinct advantage for career growth, allowing individuals to build expertise in both technical QA and customer-facing support. This dual skill set is highly valuable in today's tech landscape, particularly for SaaS products where customer experience is paramount.

🌐 Work Environment

Office Type: This is an "Onsite" role with a "Hybrid" work arrangement, requiring the employee to be present in the Cupertino, CA office 3+ days per week. The remaining days may allow for remote work.

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

Workspace Context:

• Collaborative Environment: The requirement to be in the office multiple days a week facilitates in-person collaboration, team meetings, and spontaneous problem-solving sessions with colleagues.

• Technology Access: Employees will have access to the necessary tools, software, and hardware required for cloud testing, API development, and customer interaction.

• Team Interaction: Opportunities to engage directly with QA engineers, Customer Success managers, developers, and product managers, fostering a dynamic and integrated work environment.

Work Schedule: The standard work schedule is full-time, with the noted flexibility for team meetings to accommodate international stakeholders. This suggests a need for adaptability within the daily schedule.

📝 Enhancement Note: The hybrid model implies a balance between structured in-office collaboration and the flexibility of remote work. Candidates should be prepared for the requirement of being physically present in the Cupertino office for a significant portion of the week.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or recruiter call to assess basic qualifications, interest, and fit with the company.

• Technical Interview(s): In-depth interviews focusing on:

  • Python Programming: Coding exercises, discussions on Python best practices, and experience with libraries like pytest.
  • API Testing: Scenarios involving RESTful APIs, understanding of HTTP methods, status codes, and data formats (JSON/XML).
  • UI Testing: Questions on test automation strategies using Selenium, element locators, and handling dynamic web elements.
  • Troubleshooting Scenarios: Hypothetical customer issues requiring logical debugging and problem-solving approaches.
  • Networking Fundamentals: Basic questions on TCP/IP, HTTP/HTTPS, and common network troubleshooting steps.

• Portfolio Review: Presentation or discussion of past projects, focusing on test automation scripts, API testing examples, and troubleshooting case studies.

• Customer Success/Behavioral Interview: Assessment of customer interaction skills, communication style, ability to handle difficult situations, and cultural fit.

• Hiring Manager Interview: Final discussion to assess overall fit, career aspirations, and alignment with team goals.

Portfolio Review Tips:

• Showcase Python Automation: Be prepared to walk through Python code for Selenium UI tests and pytest API tests. Highlight efficiency gains and maintainability.

• Demonstrate API Testing Expertise: Explain your approach to testing REST APIs, including test case design, error handling, and using tools/frameworks.

• Illustrate Troubleshooting Skills: Use a STAR method (Situation, Task, Action, Result) to describe a complex issue you resolved, emphasizing your analytical process.

• Quantify Impact: Wherever possible, use metrics to demonstrate the impact of your work (e.g., "reduced regression testing time by X%", "identified Y critical bugs before release").

• Highlight Customer Focus: If possible, include examples of how your QA work directly benefited customers or improved customer experience.

Challenge Preparation:

• Live Coding: Expect potential live coding exercises in Python, focusing on algorithms, data structures, or specific testing scenarios.

• Problem-Solving Scenario: Be ready to tackle a hypothetical customer issue or a QA process improvement challenge, outlining your thought process and proposed solutions.

• Test Case Design: You may be asked to design test cases for a given feature or scenario, demonstrating your understanding of edge cases and comprehensive testing.

📝 Enhancement Note: The interview process is likely multi-faceted, requiring strong technical QA skills, solid programming abilities in Python, and effective communication for customer interaction. Candidates should prepare to demonstrate their practical experience through code examples and case studies.

🛠 Tools & Technology Stack

Primary Tools:

• Programming Language: Python (mandatory, 3+ years experience).

• UI Automation: Selenium (familiarity required).

• API Testing Framework: pytest (familiarity required).

• API Development Framework: Django RESTful API (familiarity required).

• Defect Tracking: Likely tools such as Jira, Bugzilla, or similar systems for logging, tracking, and managing defects and enhancements.

Analytics & Reporting:

• Test Reporting: Tools integrated with pytest and Selenium to generate test execution reports.

• Performance Monitoring: Potentially tools for monitoring test environment performance and application responsiveness.

• Data Analysis: General analytical skills and potentially tools for analyzing test results and customer feedback data.

CRM & Automation:

• CRM (Customer Relationship Management): While not explicitly mentioned as a tool to manage, the role involves customer interaction, so familiarity with CRM concepts or tools might be beneficial for understanding customer context.

• Automation: Focus is on test automation (Selenium, pytest) rather than business process automation.

📝 Enhancement Note: The core technical stack is clearly defined: Python, Selenium, pytest, and Django RESTful API. Proficiency in these is critical. Familiarity with cloud environments (as implied by "Cloud" in the title) and associated testing challenges would be advantageous.

👥 Team Culture & Values

Operations Values:

• Quality First: A commitment to delivering high-quality, reliable software through diligent testing and automation.

• Customer Focus: Prioritizing customer satisfaction by understanding their needs, resolving issues promptly, and incorporating their feedback.

• Collaboration: Working effectively across teams (Engineering, Product, Customer Success) to achieve shared goals.

• Innovation: Embracing new methods and technologies to improve testing efficiency and product capabilities.

• Accountability: Taking ownership of tasks, from test execution to customer issue resolution, and delivering on commitments.

• Data-Driven Decision Making: Utilizing test results and customer feedback to inform product improvements and quality strategies.

Collaboration Style:

• Cross-Functional Integration: Close collaboration with developers, product managers, and customer success teams is essential for success.

• Proactive Communication: Regular updates on testing progress, defect status, and customer issue resolution are expected.

• Feedback Culture: An environment where constructive feedback is shared and received openly to drive continuous improvement in both product and processes.

• Global Team Support: Willingness to adapt communication styles and schedules to effectively work with international colleagues.

📝 Enhancement Note: The company culture emphasizes a blend of technical excellence, customer empathy, and collaborative problem-solving. The hybrid work model and global team support suggest a need for strong communication and adaptability.

⚡ 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 infrastructure and distributed systems.

• Fast-Paced Releases: Keeping pace with frequent product updates and ensuring thorough regression testing without delays.

• Global Time Zones: Coordinating with international teams and customers, requiring flexibility in working hours.

• Reproducing Intermittent Issues: Diagnosing and fixing bugs that are difficult to reproduce consistently.

Learning & Development Opportunities:

• Advanced Automation Techniques: Opportunities to explore and implement more sophisticated test automation strategies, potentially including performance or security testing.

• Cloud Technologies: Deeper understanding and hands-on experience with cloud platforms and services relevant to HPE's offerings.

• Customer Success Methodologies: Gaining insights into customer success best practices and strategies.

• Networking Expertise: Expanding knowledge in L2/L3 networking to better troubleshoot complex issues.

• Cross-Functional Skill Development: Opportunity to learn about product management, software development lifecycles, and customer support operations.

📝 Enhancement Note: This role presents a unique opportunity to develop a broad skill set that spans both technical QA and customer-facing responsibilities, which is a significant growth area in the tech industry. The challenges are geared towards developing resilience, adaptability, and advanced problem-solving skills.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to balance multiple urgent tasks. How did you prioritize, and what was the outcome?" (Assesses prioritization and time management)

• "How would you approach reproducing a customer-reported bug that only occurs intermittently?" (Tests troubleshooting methodology and analytical thinking)

• "Explain your process for creating and maintaining automated regression test suites for a complex web application." (Evaluates automation strategy and best practices)

Company & Culture Questions:

• "What interests you about HPE and the Mist product line?" (Assesses research and genuine interest)

• "How do you contribute to a positive and inclusive team environment?" (Gauges cultural fit and teamwork)

Portfolio Presentation Strategy:

• Structure: Organize your portfolio by project or by skill type (e.g., UI Automation, API Testing, Troubleshooting).

• Case Study Approach: For each significant project, use the STAR method (Situation, Task, Action, Result) to clearly articulate the context, your role, the actions you took, and the quantifiable outcomes.

• Code Walkthrough: Be prepared to share your Python code (or snippets) and explain your design choices, testing logic, and how it addresses specific requirements.

• Metrics are Key: Quantify your achievements whenever possible (e.g., "Increased test coverage by X%", "Reduced bug resolution time by Y%", "Automated Z% of critical test cases").

• Customer Impact: If you have examples where your QA work directly improved customer experience or resolved key customer pain points, highlight them.

Challenge Preparation:

• Python Coding: Practice writing Python functions for common tasks, including data manipulation, string processing, and potentially basic algorithms. Be comfortable with pytest for unit/integration testing.

• API Scenario: Prepare to discuss how you would test a specific API endpoint (e.g., a user login API), including request parameters, expected responses, and error conditions.

• Troubleshooting Exercise: Be ready to analyze a hypothetical system failure or bug report and outline your step-by-step approach to diagnose and resolve it, considering both UI and API layers.

📝 Enhancement Note: Interviewers will likely probe your technical depth in Python, Selenium, and API testing, as well as your ability to apply these skills in a customer-facing context. Demonstrating a structured problem-solving approach and the ability to communicate technical details clearly will be crucial.

📌 Application Steps

To apply for this operations position:

• Submit your application through the official Hewlett Packard Enterprise careers portal via the provided URL.

• Resume Optimization: Tailor your resume to highlight your 5+ years of relevant experience, emphasizing your proficiency in Python, Selenium, pytest, and Django RESTful API testing. Clearly state your U.S. citizenship status.

• Portfolio Preparation: Curate examples of your Python test automation scripts, API testing projects, and any technical documentation you've created. Be ready to discuss these in detail, focusing on problem-solving and impact.

• Interview Practice: Prepare for technical questions on Python, UI/API testing, and networking. Practice answering behavioral questions using the STAR method and rehearse your portfolio presentation.

• Company Research: Familiarize yourself with Hewlett Packard Enterprise, its edge-to-cloud strategy, and specifically the Mist product line. Understand their commitment to quality, customer success, and their company values.

⚠️ 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.