Quality Assurance Engineer - Cloud, UI & API

📍 Job Overview

Job Title: Quality Assurance Engineer - Cloud, UI & API Company: Hewlett Packard Enterprise (HPE) Location: Cupertino, California, United States Job Type: Full-Time Category: Quality Assurance / Customer Success Engineering Date Posted: May 15, 2026 Experience Level: 5-10 Years (Mid to Senior Level) Remote Status: Onsite (Hybrid - 3+ days in office per week)

🚀 Role Summary

• This role is a hybrid of Quality Assurance (QA) and Customer Success Engineering, focusing on the Mist product line within HPE's cloud offerings.
• It requires a strong blend of technical QA expertise, including UI and API testing, coupled with direct customer interaction for issue resolution and support.
• The position emphasizes test automation development, environment management, and creating clear technical documentation to enhance product quality and customer satisfaction.
• Candidates must possess U.S. citizenship and a proactive, detail-oriented approach to problem-solving within a fast-paced, cross-functional environment.

📝 Enhancement Note: The job description explicitly states "U.S. citizenship is required for this role," which is a critical qualification. The hybrid nature with a 3+ days/week office expectation in Cupertino, CA, is also a key differentiator from fully remote roles. The dual focus on QA and Customer Success indicates a need for strong communication and problem-solving skills beyond traditional QA.

📈 Primary Responsibilities

• Execute comprehensive testing strategies for Web GUI and REST API functionalities across staging and production environments, ensuring high product quality for regular releases.
• Develop, maintain, and expand automated test coverage using Python, Selenium, and pytest frameworks to streamline regression testing and improve efficiency.
• Investigate, reproduce, and resolve customer-reported issues with precision and timeliness, providing clear updates and maintaining high customer satisfaction levels.
• Manage the defect lifecycle by logging, tracking, and collaborating with development teams for prompt resolution, and contribute customer insights to product and engineering for continuous improvement.
• Build, monitor, and maintain robust test environments to ensure reliable automation execution and accurate reporting of test results.
• Create and update clear, concise technical documentation for both QA and customer support teams, enhancing knowledge sharing and operational efficiency.
• Independently manage and prioritize multiple tasks and projects, while also collaborating effectively within cross-functional teams to meet strict deadlines in a dynamic environment.
• Participate in early or late hour team meetings to support international teams and customers, demonstrating flexibility and commitment to global operations.

📝 Enhancement Note: The responsibilities highlight a need for both proactive quality assurance (testing, automation, environment management) and reactive customer support (issue reproduction, resolution, documentation). The requirement to join meetings at "early or late hours" suggests a global team structure and the need for flexibility.

🎓 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 of 3+ years in Python programming for test automation and scripting.
• At least 3 years of experience in writing detailed regression test cases and executing them effectively.
• A minimum of 3 years of hands-on experience with UI and/or API troubleshooting and debugging.

Required Skills:

• Python Programming: Proficient in Python for scripting, test automation, and data manipulation (3+ years).
• UI Automation: Experience with UI automation frameworks, specifically Selenium.
• API Testing: Strong understanding and practical experience with RESTful API testing, including familiarity with Django RESTful API.
• Test Frameworks: Familiarity with pytest for automated testing.
• Regression Testing: Proven ability to design and execute comprehensive regression test plans and cases.
• Troubleshooting: Excellent analytical and problem-solving skills for UI and API issues.
• Networking Fundamentals: Basic L2/L3 networking knowledge is essential for understanding cloud infrastructure interactions.
• Defect Management: Experience in logging, tracking, and managing software defects.
• Technical Documentation: Ability to write clear and concise technical documentation.

Preferred Skills:

• Experience with cloud platforms and services (e.g., AWS, Azure, GCP).
• Familiarity with CI/CD pipelines and integration.
• Knowledge of containerization technologies (e.g., Docker, Kubernetes).
• Experience with performance or security testing methodologies.
• Customer support ticketing systems (e.g., ServiceNow, Zendesk).

📝 Enhancement Note: The emphasis on Python, Selenium, pytest, and Django RESTful API clearly defines the core technical stack for this role. The requirement for basic L2/L3 networking knowledge is crucial given the cloud and API focus. The 5+ years of combined experience points towards a mid-to-senior level individual contributor.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate experience in developing and executing automated test suites for both UI and API components, showcasing code samples (e.g., Python scripts using Selenium/pytest).
• Provide examples of detailed regression test plans and test cases that you have created and managed, highlighting your approach to comprehensive coverage.
• Showcase instances where you have troubleshooted and resolved complex UI or API defects, detailing your diagnostic process and the tools used.
• Include examples of technical documentation, such as test environment setup guides or API testing procedures, that you have authored.

Process Documentation:

• Document your approach to building and maintaining test environments, including setup, configuration, and monitoring strategies.
• Illustrate your process for investigating and reproducing customer-reported issues, from initial triage to final resolution and feedback loops.
• Outline your methodology for collaborating with development teams on defect resolution, including communication protocols and escalation paths.
• Showcase your process for contributing customer feedback and insights to product and engineering teams to drive product improvements.

📝 Enhancement Note: For a QA role with a customer success component, a portfolio should highlight not just testing execution but also automation development, problem-solving methodology, and documentation skills. Demonstrating a structured approach to issue reproduction and defect management is key.

💵 Compensation & Benefits

Salary Range:

• United States (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, training, and skill level. Variable incentives may also be offered.

Benefits:

• Health & Wellbeing: Comprehensive suite of benefits supporting physical, financial, and emotional wellbeing. Specific details can be found at https://myhperewards.com/main/new-hire-enrollment.html for US employees.
• Personal & Professional Development: Investment in career growth through specific programs for skill development, knowledge expertise, and potential cross-divisional opportunities.
• Unconditional Inclusion: A culture that celebrates individual uniqueness, offers flexibility for work-life management, and promotes bold moves in a collaborative environment.

Working Hours:

• Standard full-time hours (approx. 40 hours/week).
• Requires flexibility to join team meetings three times a week during early or late hours to support international teams and customers.

📝 Enhancement Note: The provided salary range is quite broad, reflecting the range of experience and location adjustments possible within California. The benefits listed are standard but emphasizing the dedicated website for US employees is helpful. The "early or late hours" requirement is a significant aspect of the working hours.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Edge-to-Cloud Solutions, Networking, Cloud Computing) Company Size: Large Enterprise (Hewlett Packard Enterprise is a global leader with tens of thousands of employees worldwide). Founded: 2015 (as a spin-off from Hewlett-Packard Company).

Team Structure:

• The role is within the Customer Success QA (CSQA) team, focused on the Mist product line. This team likely comprises QA engineers, support engineers, and potentially product specialists.
• As an "Onsite" role with hybrid expectations, team members are expected to collaborate physically in the Cupertino office at least 3 days a week, fostering in-person synergy.
• Cross-functional collaboration is expected with development, product management, and potentially customer success managers to ensure product quality and customer satisfaction.

Methodology:

• The team operates with a focus on delivering high-quality cloud products through rigorous testing and automation.
• Customer feedback and issue resolution are integral to the team's workflow, driving continuous improvement and ensuring customer retention.
• Agile or iterative development methodologies are likely employed, requiring adaptability and efficient task management.

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

📝 Enhancement Note: HPE's positioning as a global edge-to-cloud company implies a complex product ecosystem. The Mist product line likely refers to their AI-driven networking solutions, suggesting a focus on advanced technology and user experience. The large company size means established processes but also potential for bureaucratic elements.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-to-senior individual contributor, likely classified as TCP_03 (Technical Career Path, Level 3) within HPE. It requires significant technical expertise and autonomy in executing QA and customer support functions.

Reporting Structure: The role is part of the CSQA team. While the direct reporting manager isn't specified, it's likely a QA Manager, Engineering Manager, or Customer Success Lead who oversees the team's technical and operational performance.

Operations Impact: This role directly impacts revenue and business decisions by ensuring the quality and reliability of HPE's Mist product line. High product quality leads to better customer retention, reduced support costs, and a stronger market reputation, all of which are critical for sustained revenue growth in the competitive cloud and networking space.

Growth Opportunities:

• Technical Specialization: Deepen expertise in cloud QA, API testing, automation frameworks (Python, pytest), and specific HPE cloud technologies. Potential to become a subject matter expert (SME) for the Mist product line.
• Leadership Development: Progress into a senior QA engineer role, team lead, or technical lead position, mentoring junior engineers and guiding test strategy.
• Cross-Functional Transition: Opportunities to move into related roles such as Solutions Architect, Technical Support Engineer, or even Product Management, leveraging the broad understanding gained from this hybrid role.
• Learning & Skill Enhancement: Access to HPE's professional development programs, certifications, and potentially internal training on new technologies relevant to edge-to-cloud solutions.

📝 Enhancement Note: The "TCP_03" designation suggests a defined career path within HPE. The hybrid nature of the role offers a unique opportunity to develop both deep technical QA skills and customer-facing problem-solving capabilities, which can open doors to various growth avenues.

🌐 Work Environment

Office Type: This is an "Onsite" role with hybrid expectations, meaning the primary work location is an HPE office in Cupertino, CA. The office environment is likely designed for collaboration, with shared workspaces, meeting rooms, and access to necessary IT infrastructure.

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: The requirement to be in the office 3+ days a week suggests an emphasis on in-person collaboration, brainstorming, and team synergy.
• Technology Access: Expect access to standard office amenities, high-speed internet, and IT support necessary for software development and testing activities. HPE likely provides robust development and testing tools.
• Team Interaction: Opportunities for direct interaction with colleagues on the CSQA team, as well as with developers and product managers, facilitating knowledge sharing and efficient problem-solving.

Work Schedule: The role is full-time, with an expectation of approximately 40 hours per week. However, the need to join meetings three times a week during "early or late hours" indicates a flexible schedule may be accommodated, but core availability for global team synchronization is required.

📝 Enhancement Note: The Cupertino location places the employee in a prime tech hub. The hybrid model aims to balance the benefits of remote flexibility with the advantages of in-office collaboration for complex technical work and team cohesion.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will likely conduct an initial phone screen to assess basic qualifications, experience, and fit for the role and company culture, including confirming U.S. citizenship.
• Technical Interview(s): Expect one or more technical interviews focusing on Python programming, UI/API testing concepts, automation frameworks (Selenium, pytest), and troubleshooting scenarios. This may include a live coding exercise or a discussion of past projects.
• Portfolio Review: A dedicated session to review your submitted portfolio. Be prepared to walk through specific examples of your work, explaining your contributions, methodologies, and the impact of your efforts.
• Manager/Team Interview: An interview with the hiring manager and potentially team members to assess your problem-solving approach, communication skills, ability to work in a hybrid environment, and cultural fit.
• Customer Scenario Discussion: Given the customer success aspect, expect questions related to handling customer issues, prioritizing tasks, and communicating technical information to non-technical stakeholders.

Portfolio Review Tips:

• Showcase Automation: Include well-documented Python scripts for UI (Selenium) and API (pytest) testing. Highlight test framework design and how you ensured maintainability and scalability.
• Demonstrate Troubleshooting: Prepare a case study detailing a complex bug you identified and resolved. Explain your debugging process, tools used, and the impact of the fix.
• Highlight Documentation Skills: Include examples of clear, user-friendly technical documentation you've created for QA or support purposes.
• Quantify Impact: Whenever possible, use metrics to demonstrate the value of your work (e.g., "increased automated test coverage by X%", "reduced bug resolution time by Y%", "improved customer satisfaction scores by Z%").
• Tailor to HPE: Research HPE's Mist product line and current cloud offerings. Frame your experience and portfolio examples to align with their technology and business goals.

Challenge Preparation:

• Coding Challenges: Practice Python coding problems, focusing on data structures, algorithms, and object-oriented programming principles relevant to test automation.
• API Testing Scenarios: Be ready to design API test cases for common scenarios (e.g., CRUD operations, error handling, authentication).
• Troubleshooting Scenarios: Prepare to walk through how you would diagnose and resolve common UI glitches or API errors in a cloud environment.
• Behavioral Questions: Prepare answers using the STAR method (Situation, Task, Action, Result) for questions about teamwork, problem-solving, handling pressure, and customer interaction.

📝 Enhancement Note: The portfolio review is critical for this role. Candidates should be prepared to not only present their work but also articulate the thought process and impact behind it, especially concerning automation and customer issue resolution.

🛠 Tools & Technology Stack

Primary Tools:

• Python: The core programming language for scripting and automation. Proficiency is a must.
• Selenium: Essential for UI automation testing.
• pytest: A popular Python testing framework for writing and running tests.
• Django RESTful API: Familiarity is required for testing APIs within this framework.

Analytics & Reporting:

• Test Management Tools: Likely Jira (with plugins like Zephyr or Xray), TestRail, or similar for test case management and defect tracking.
• CI/CD Tools: Experience with Jenkins, GitLab CI, or similar for integrating automated tests into the development pipeline.
• Reporting Dashboards: Tools like Grafana, Kibana, or custom solutions for visualizing test results and environment status.

CRM & Automation:

• Version Control: Git (e.g., GitHub, GitLab, Bitbucket) for code management.
• Issue Tracking: Jira is highly probable for defect tracking and project management.
• Collaboration Platforms: Microsoft Teams, Slack, or HPE's internal tools for communication.

📝 Enhancement Note: The specific mention of Python, Selenium, pytest, and Django RESTful API is key. Understanding how these tools integrate into a CI/CD pipeline and work with issue tracking systems like Jira will be highly advantageous.

👥 Team Culture & Values

Operations Values:

• Quality Excellence: A commitment to delivering high-quality, reliable software through rigorous testing and automation.
• Customer Focus: Prioritizing customer satisfaction by effectively resolving issues and providing clear, user-centric documentation.
• Innovation & Continuous Improvement: Embracing new technologies and methodologies to enhance product quality and team efficiency.
• Collaboration & Teamwork: Working effectively across functions and with global teams to achieve common goals.
• Accountability & Initiative: Taking ownership of tasks, proactively identifying and solving problems, and demonstrating resourcefulness.

Collaboration Style:

• Cross-functional Integration: Expect close collaboration with development, product management, and customer success teams, requiring strong communication and negotiation skills.
• Data-Driven Decisions: Utilizing test results, customer feedback, and system metrics to inform decisions and drive improvements.
• Open Communication: A culture that encourages open feedback, knowledge sharing, and constructive dialogue to foster a learning environment.
• Hybrid Synergy: Balancing remote work flexibility with in-office collaboration to maximize team effectiveness.

📝 Enhancement Note: HPE's stated values ("Unconditional Inclusion," making "bold moves, together," being a "force for good") should be reflected in the team's day-to-day operations. The emphasis on customer success suggests a value placed on empathy and proactive problem-solving.

⚡ Challenges & Growth Opportunities

Challenges:

• Global Team Synchronization: The need to attend meetings at "early or late hours" to support international teams can be demanding and requires strong time management.
• Balancing QA & Support: Juggling the distinct demands of proactive quality assurance with reactive customer issue resolution requires excellent prioritization and adaptability.
• Complex Cloud Environments: Testing and troubleshooting in dynamic, multi-component cloud environments can be challenging due to their inherent complexity and rapid evolution.
• Rapid Release Cycles: Keeping pace with frequent product releases and ensuring comprehensive test coverage within tight timelines.

Learning & Development Opportunities:

• Deep Dive into Cloud Technologies: Gain extensive experience with HPE's cloud infrastructure, networking solutions (Mist), and related technologies.
• Advanced Automation Skills: Develop expertise in building scalable and maintainable test automation frameworks using Python and cutting-edge tools.
• Customer Advocacy: Hone skills in customer communication, issue resolution, and translating technical solutions into customer benefits.
• Industry Certifications: Opportunities to pursue relevant certifications in cloud technologies, QA methodologies, or specific HPE product lines.
• Mentorship Programs: Access to experienced engineers and leaders within HPE for guidance and career development.

📝 Enhancement Note: The challenges presented are typical for roles in fast-paced tech environments with global reach. The growth opportunities are significant, particularly for individuals looking to build expertise in cloud QA and customer-facing technical roles.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex UI or API bug you encountered. How did you reproduce it, what steps did you take to diagnose it, and how did you ensure it was resolved effectively?" (Focus on process, tools, and collaboration.)
• "How would you approach designing a comprehensive regression test suite for a new feature in a cloud-based application like HPE's Mist product line?" (Assess understanding of test strategy, automation, and scope.)
• "Imagine a customer reports an issue that you cannot immediately reproduce. What is your systematic approach to investigate and resolve this?" (Evaluate troubleshooting methodology and customer empathy.)

Company & Culture Questions:

• "What interests you about HPE and specifically the Mist product line?" (Research HPE's vision, recent news, and the Mist solution.)
• "How do you approach collaboration within a hybrid work environment and with international teams?" (Highlight adaptability, communication skills, and proactive engagement.)
• "How do you ensure your work directly contributes to customer satisfaction and business objectives?" (Connect QA efforts to customer retention and product reliability.)

Portfolio Presentation Strategy:

• Structure Your Narrative: For each portfolio item, clearly state the problem, your approach, the tools/technologies used, your specific contributions, and the quantifiable results or impact.
• Live Coding/Demonstration: If asked for a live exercise, be clear in your thought process. Explain your code as you write it. If showcasing automation scripts, be ready to explain framework design principles.
• Focus on Automation: Emphasize your Python automation code. Explain why you chose specific libraries and how your automation improved efficiency or coverage.
• Highlight Customer Impact: For any customer support scenarios or issue resolutions, clearly articulate how your actions benefited the customer and the business.

📝 Enhancement Note: Interview preparation should focus on demonstrating a blend of technical prowess (Python, automation, cloud concepts) and strong soft skills (communication, problem-solving, customer focus). The portfolio is a key asset; be ready to dissect it with detailed explanations.

📌 Application Steps

To apply for this Quality Assurance Engineer position:

• Submit Your Application: Apply directly through the HPE careers portal using the provided URL. Ensure your resume is up-to-date and tailored to the requirements.
• Curate Your Portfolio: Gather examples of your Python test automation code (UI and API), detailed test plans, and any technical documentation you've authored. Ensure code is well-commented and accessible (e.g., via GitHub if possible).
• Prepare Case Studies: Develop specific examples using the STAR method to illustrate your experience in troubleshooting, automation development, defect management, and customer issue resolution. Quantify your achievements whenever possible.
• Research HPE & Mist: Familiarize yourself with Hewlett Packard Enterprise's mission, values, and specifically the AI-driven networking solutions offered by the Mist product line. Understand their current market position and technological focus.
• Practice Interview Questions: Rehearse answers to common technical, behavioral, and situational interview questions, paying close attention to the hybrid nature of the role and the customer success component. Be ready to discuss your approach to working in a hybrid environment and supporting global teams.

⚠️ 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.