QA Engineer II (Python, Automation Test, UI, Rest API)

📍 Job Overview

Job Title: QA Engineer II (Python, Automation Test, UI, Rest API)
Company: Hewlett Packard Enterprise (HPE)
Location: Bengaluru, Karnataka, India
Job Type: FULL_TIME
Category: Software Quality Assurance / Engineering Operations
Date Posted: May 10, 2026
Experience Level: Mid-Level (2-4 years)
Remote Status: Hybrid (2 days/week in office)

🚀 Role Summary

• This role focuses on designing, developing, and executing comprehensive quality assurance and test strategies for HPE's cutting-edge edge-to-cloud solutions, ensuring the reliability and performance of software and firmware.
• Key responsibilities include creating and maintaining automated test scripts using Python for UI and REST API functionalities, significantly contributing to the overall software development lifecycle (SDLC) and agile scrum processes.
• The position demands strong analytical and problem-solving skills to debug complex issues, collaborate effectively with cross-functional teams, and contribute to continuous process improvement within the quality engineering domain.
• This is a mid-level engineering role requiring a foundational understanding of software testing methodologies, tools, and a commitment to delivering high-quality technology products in a dynamic environment.

📝 Enhancement Note: While the title is "QA Engineer II," the responsibilities and experience level (2-4 years) indicate a mid-level role focused on hands-on technical execution within the quality engineering function. The emphasis on Python, automation, UI, and REST API testing suggests this role will be deeply integrated into the development pipeline, requiring strong technical acumen beyond traditional manual QA.

📈 Primary Responsibilities

• Design, develop, and execute robust quality assurance and test processes for end-user applications, systems software, and firmware, adhering to HPE's quality standards.
• Create, modify, and execute automated test scripts using Python for UI and REST API functionalities, ensuring comprehensive test coverage and efficient test execution.
• Analyze software designs and determine the necessary test scripts, coding, automation, and integration activities required to meet project objectives and quality benchmarks.
• Identify, debug, and document software defects, participating in root cause analysis and recommending corrective actions to development engineers.
• Develop and maintain comprehensive test documentation, including test plans, test cases, and test results, to support debugging and software modification efforts.
• Collaborate effectively with cross-functional teams, including development engineers, product managers, and other QA engineers, to ensure seamless integration and timely resolution of issues.
• Contribute to the continuous improvement of testing methodologies, tools, and processes within the agile scrum framework to enhance overall product quality and delivery efficiency.
• Participate in code reviews for test automation scripts and provide constructive feedback to peers to maintain code quality and adherence to best practices.
• Evaluate and recommend new testing tools and technologies to improve test coverage, efficiency, and overall quality assurance capabilities.

📝 Enhancement Note: The responsibilities clearly indicate a hands-on technical role heavily involved in test automation development. The mention of "portions of end-user applications, systems software, and firmware" suggests involvement across different layers of the technology stack. The collaboration with "outsourced development partners" highlights the need for strong communication and vendor management skills.

🎓 Skills & Qualifications

Education:

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

Experience:

• Typically 2-4 years of experience in software quality assurance and testing.
• Proven experience with software testing methodologies, including the execution of test plans, debugging, and working with testing scripts and tools.
• Demonstrated ability to apply analytical and problem-solving skills to complex technical challenges.
• Understanding of software and firmware design principles for various platform types.

Required Skills:

• Python: Proficiency in Python for developing and maintaining automated test scripts.
• Automation Testing: Strong experience in designing and implementing automated testing frameworks and solutions.
• UI Testing: Expertise in testing graphical user interfaces, identifying usability issues, and ensuring a seamless user experience.
• REST API Testing: Solid understanding and practical experience in testing RESTful APIs, including request/response validation and error handling.
• Software Quality Assurance: Comprehensive knowledge of QA principles, processes, and best practices.
• Test Planning & Execution: Ability to create detailed test plans and execute them systematically.
• Debugging: Proficient in identifying, analyzing, and debugging software defects.
• Agile Methodology: Experience working within agile development environments, preferably Agile Scrum.

Preferred Skills:

• Experience with CI/CD pipelines and integrating automated tests into them.
• Familiarity with performance testing and security testing concepts.
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and testing cloud-native applications.
• Experience with containerization technologies like Docker and Kubernetes.
• Familiarity with version control systems such as Git.
• Understanding of data analysis in the context of test results and quality metrics.

📝 Enhancement Note: The "Additional Skills" section in the raw data lists several soft skills that are crucial for operations roles. These should be integrated into the "Required" and "Preferred" skills sections to provide a more complete picture for candidates. The "TCP_02" job level suggests a specific internal grading that aligns with the 2-4 years of experience.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Test Automation Frameworks: Showcase examples of automated test scripts and frameworks developed using Python for both UI and REST API testing. Highlight the architecture and design principles employed.
• Process Improvement Case Studies: Present specific instances where your testing strategies or automation efforts led to measurable improvements in test coverage, defect detection rates, or development cycle time. Quantify the impact with metrics.
• System Integration Testing: Include examples demonstrating your ability to test the integration between different software components and systems, ensuring seamless data flow and functionality.
• Defect Management & Resolution: Provide documentation or case studies illustrating your approach to defect tracking, analysis, and working with development teams for efficient resolution.

Process Documentation:

• Test Plan Development: Demonstrate your ability to create comprehensive test plans that outline scope, objectives, resources, schedule, and test strategies for complex software projects.
• Test Script Design & Implementation: Document the process for designing, coding, and validating automated test scripts, emphasizing reusability, maintainability, and adherence to coding standards.
• Quality Metrics & Reporting: Showcase examples of how you collect, analyze, and report on quality metrics (e.g., defect density, test execution status, automation coverage) to stakeholders, driving data-informed decisions.

📝 Enhancement Note: For technical roles like this, a portfolio is crucial. Candidates should be prepared to demonstrate their Python automation skills, their understanding of testing methodologies, and their ability to articulate process improvements and their impact. The portfolio should serve as evidence of their practical application of the required skills.

💵 Compensation & Benefits

Salary Range:

• For a QA Engineer II with 2-4 years of experience in Bengaluru, India, the estimated annual salary range is ₹600,000 to ₹1,200,000 (approximately $7,200 - $14,400 USD, subject to exchange rates). This range accounts for base salary, potential bonuses, and benefits common in the Indian IT sector.
• Methodology: This estimate is based on industry benchmarks for similar roles in Bengaluru, considering factors such as experience level, required technical skills (Python, automation, API testing), and the company's standing as a global technology leader. Data sources include reputable salary aggregators for the Indian market and general cost of living indices for Bengaluru.

Benefits:

• Health & Wellbeing: Comprehensive health insurance coverage, including medical, dental, and vision plans. Access to wellness programs and resources.
• Personal & Professional Development: Opportunities for continuous learning through training programs, workshops, certifications, and access to HPE's internal learning platforms. Support for attending industry conferences.
• Retirement & Financial Benefits: Provident Fund contributions and other financial planning resources, subject to local regulations.
• Work-Life Integration: Hybrid work model allowing for a balance between office collaboration and remote flexibility, with an expectation of 2 days per week in the HPE Bengaluru office. Paid time off, including vacation and sick leave, as per company policy and local labor laws.
• Global Exposure: Opportunity to work with a leading global technology company, gaining exposure to diverse projects and international teams.

Working Hours:

• Standard full-time working hours, typically 40 hours per week. The hybrid work arrangement allows for flexibility, with an expectation of working approximately 2 days per week from the HPE Bengaluru office. Specific daily schedules may vary based on team needs and project timelines, often aligning with IST (Indian Standard Time).

📝 Enhancement Note: The salary range is an estimate based on regional data. The mention of "TCP_02" suggests an internal banding that likely corresponds to this experience level and salary bracket within HPE. The benefits listed are common for large tech organizations and are tailored to what professionals in India would expect.

🎯 Team & Company Context

🏢 Company Culture

Industry: Information Technology, Cloud Computing, Enterprise Solutions, Networking, Hardware and Software Development. HPE operates at the forefront of digital transformation, providing a broad portfolio of products and services from the edge to the cloud. Company Size: Large enterprise (typically 50,000+ employees globally). This size offers stability, extensive resources, and opportunities for diverse career paths within the organization. Founded: 1939 (as Hewlett-Packard), with HPE spinning off in 2015. This long history signifies deep industry experience, innovation, and a strong foundation in technology.

Team Structure:

• The QA Engineer II will likely be part of a dedicated Quality Engineering or Software Development team within HPE, potentially organized by product lines, technology stacks, or project initiatives.
• The team is expected to be composed of engineers with specialized skills in areas like test automation, performance testing, API testing, and potentially domain-specific testing for hardware or cloud services.
• Reporting likely involves a direct line to a QA Lead, Engineering Manager, or Development Manager, with close collaboration across development, product management, and DevOps functions.

Methodology:

• HPE emphasizes an agile development methodology, likely incorporating Agile Scrum, to facilitate iterative development, rapid feedback, and continuous delivery of high-quality software.
• The company promotes a data-driven approach, where decisions are informed by metrics related to product performance, customer usage, and quality indicators.
• A strong focus on automation is expected, with an emphasis on integrating testing throughout the SDLC and leveraging tools to improve efficiency and reliability.

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

📝 Enhancement Note: HPE's "edge-to-cloud" strategy and its long-standing presence in the IT industry suggest a culture of innovation, technical excellence, and a commitment to enterprise-level solutions. The hybrid work model reflects a modern approach to employee engagement and work-life balance.

📈 Career & Growth Analysis

Operations Career Level: This role is classified as a mid-level engineer (TCP_02), signifying a level of technical proficiency and the ability to work independently on defined tasks within the quality engineering domain. It's a crucial step for developing specialized skills in test automation and quality assurance. Reporting Structure: The QA Engineer II will likely report to a QA Lead or Engineering Manager. They will work closely with a cross-functional team that may include software developers, DevOps engineers, product managers, and other QA specialists. This structure facilitates learning from senior team members and contributing to team goals. Operations Impact: This role directly impacts the quality and reliability of HPE's software and firmware products, which are critical components of their edge-to-cloud strategy. By ensuring robust testing and automation, the QA Engineer contributes to customer satisfaction, reduces post-release defects, and supports faster, more confident product releases. This indirectly supports revenue by enhancing product reputation and reducing support costs.

Growth Opportunities:

• Technical Specialization: Develop deep expertise in advanced test automation techniques, Python programming for QA, performance testing, security testing, or specific HPE product technologies.
• Leadership Progression: With experience, advance to roles like Senior QA Engineer, Test Architect, or QA Lead, taking on more complex projects, mentoring junior engineers, and influencing test strategy.
• Cross-Functional Movement: Opportunities to transition into related roles such as DevOps Engineering, Software Development, or Product Management, leveraging their deep understanding of the product lifecycle and quality principles.
• Skill Development: Access to HPE's extensive learning resources, certifications, and training programs to continuously enhance technical and soft skills.

📝 Enhancement Note: The "TCP_02" designation implies a structured career path within HPE. The emphasis on "edge-to-cloud" and enterprise solutions means that growth opportunities will likely involve working on sophisticated, large-scale systems.

🌐 Work Environment

Office Type: Hybrid work model, requiring approximately 2 days per week in the HPE Bengaluru office. This suggests a modern office setup designed to facilitate collaboration, innovation, and team interaction. Office Location(s): Bengaluru, Karnataka, India. This major technology hub provides access to a strong talent pool and a vibrant ecosystem of tech companies and resources. Workspace Context:

• Collaborative Environment: The office space is designed to encourage interaction, team meetings, brainstorming sessions, and knowledge sharing among engineers and cross-functional teams.
• Tools & Technology: Access to HPE's standard IT infrastructure, development tools, and testing environments. This likely includes high-performance workstations, reliable network access, and enterprise-grade software licenses.
• Team Interaction: Opportunities to engage directly with team members, participate in stand-ups, sprint reviews, and other agile ceremonies, fostering a sense of team cohesion and shared purpose.

Work Schedule:

• The hybrid nature allows for flexibility. While a standard 40-hour work week is expected, the specific daily schedule can be managed to accommodate personal needs, provided that team collaboration and project deadlines are met. This flexibility is crucial for effective test execution, which may sometimes require focused, uninterrupted blocks of time.

📝 Enhancement Note: The hybrid model is a key feature of the work environment, offering a blend of collaborative office time and personal flexibility. Candidates should be comfortable with this arrangement and understand the need to be present in the office for specific team activities.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or HR representative will likely conduct an initial phone screen to assess basic qualifications, experience, and cultural fit.
• Technical Interview(s): Expect one or more technical interviews, which may include:
  • Coding Challenge: Live coding exercises, often in Python, focusing on data structures, algorithms, and writing clean, efficient, and testable code.
  • Automation Concepts: Questions about test automation principles, framework design, and experience with specific tools and methodologies.
  • API Testing Scenarios: Problem-solving questions related to testing REST APIs, understanding request/response payloads, and handling common API issues.
  • UI Testing Scenarios: Discussions on approaches to UI testing, common challenges, and how to automate UI workflows.
  • Debugging & Problem-Solving: Scenarios where you'll need to analyze logs or describe how you'd debug a complex issue.
• Portfolio Review: A dedicated session to walk through your submitted portfolio. Be prepared to explain your design choices, the impact of your work, and the technical challenges you overcame.
• Manager/Team Interview: A discussion with the hiring manager and potential team members to assess your fit within the team's culture, your collaboration style, and your overall approach to quality engineering.
• Final Round: May involve a discussion on career aspirations, broader company fit, and final confirmation of qualifications.

Portfolio Review Tips:

• Focus on Impact: Clearly articulate the business value and impact of your projects. Quantify results whenever possible (e.g., "reduced regression testing time by X%", "increased defect detection rate by Y%").
• Showcase Python & Automation: Highlight projects where you extensively used Python for test automation, demonstrating your ability to build maintainable and scalable solutions.
• Explain Your Process: Be ready to discuss your thought process behind designing test strategies, selecting tools, architecting automation frameworks, and handling challenging bugs.
• Technical Depth: Be prepared to answer detailed technical questions about your code, the frameworks you used, and the specific challenges you faced and overcame.
• Conciseness: Organize your portfolio logically and be able to present it clearly and concisely within the allotted time.

Challenge Preparation:

• Coding Practice: Regularly practice Python coding problems on platforms like LeetCode, HackerRank, or Codewars, focusing on areas relevant to algorithm efficiency and data structures.
• Automation Frameworks: Refresh your knowledge of common test automation patterns and libraries in Python (e.g., pytest, Selenium WebDriver, Requests library).
• API Concepts: Review REST API principles, HTTP methods, status codes, and common request/response formats (JSON, XML).
• Scenario-Based Questions: Practice answering hypothetical scenarios related to testing complex systems, debugging elusive bugs, and choosing appropriate testing strategies.

📝 Enhancement Note: Candidates should anticipate a rigorous technical evaluation, with a strong emphasis on practical coding skills in Python and a deep understanding of test automation principles for both UI and APIs. The portfolio review is a critical component for demonstrating hands-on capability.

🛠 Tools & Technology Stack

Primary Tools:

• Programming Language: Python (primary for automation scripting).
• UI Automation Tools: Selenium WebDriver, potentially Cypress or Playwright.
• API Testing Tools: Postman, Insomnia, or Python libraries like requests.
• Test Automation Frameworks: pytest, unittest, or custom frameworks built with Python.
• Version Control: Git (and platforms like GitHub, GitLab, or Bitbucket).

Analytics & Reporting:

• Test Management Tools: Jira (with plugins like Zephyr or Xray), TestRail, or similar for test case management and defect tracking.
• Reporting Dashboards: Tools like Grafana, Kibana, or custom dashboards for visualizing test results and quality metrics.
• CI/CD Tools: Jenkins, GitLab CI, Azure DevOps, or similar for integrating automated tests into the build and deployment pipeline.

CRM & Automation:

• While not directly a CRM role, understanding how QA integrates with CRM data or processes might be relevant for data-driven quality analysis.
• Integration: Experience with integrating various tools and services within the SDLC and testing ecosystem.

📝 Enhancement Note: Proficiency in Python is paramount. Candidates should be prepared to discuss their experience with specific automation libraries, frameworks, and CI/CD integration strategies. Understanding how these tools fit into a larger enterprise development lifecycle is key.

👥 Team Culture & Values

Operations Values:

• Quality First: A deep commitment to delivering high-quality, reliable products that meet customer expectations and HPE's stringent standards.
• Innovation & Continuous Improvement: Encouraging new ideas, embracing new technologies, and constantly seeking ways to optimize processes and enhance efficiency in testing.
• Collaboration & Teamwork: Working effectively across diverse teams, sharing knowledge, and supporting colleagues to achieve common goals.
• Data-Driven Decision Making: Utilizing metrics and data analysis to inform testing strategies, identify areas for improvement, and measure impact.
• Accountability & Ownership: Taking responsibility for assigned tasks, delivering on commitments, and driving issues to resolution.

Collaboration Style:

• Cross-Functional Integration: Active participation in agile ceremonies and close collaboration with development, product management, and DevOps teams to ensure a unified approach to product delivery.
• Open Communication: Fostering an environment where feedback is openly shared, technical discussions are encouraged, and challenges are addressed transparently.
• Knowledge Sharing: Encouraging the sharing of best practices, learnings from defects, and insights from automation efforts through documentation, presentations, or informal discussions.

📝 Enhancement Note: HPE's stated values of "Unconditional Inclusion" and making "bold moves, together" suggest a culture that values diversity, teamwork, and proactive problem-solving. Candidates should align with these principles and demonstrate a collaborative, results-oriented approach.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of Enterprise Systems: Testing complex, large-scale enterprise solutions that involve multiple integrated components, diverse platforms, and stringent performance requirements.
• Rapid Development Cycles: Keeping pace with agile development sprints and ensuring timely, comprehensive test coverage without compromising quality.
• Maintaining Automation Scalability: Ensuring that Python automation scripts and frameworks remain scalable, maintainable, and efficient as the product evolves and test suites grow.
• Evolving Technology Landscape: Staying current with new technologies, testing tools, and industry best practices in a rapidly changing tech environment.

Learning & Development Opportunities:

• Advanced Automation Training: Opportunities to deepen expertise in areas like AI-driven testing, performance engineering, or advanced Python techniques for test automation.
• Cloud Technologies: Learning to test cloud-native applications and services, including microservices architectures and containerization.
• Industry Certifications: Support for obtaining relevant certifications in software testing, automation, or agile methodologies.
• Mentorship Programs: Access to mentorship from experienced engineers and leaders within HPE to guide career development and provide technical insights.

📝 Enhancement Note: The challenges presented are typical for a large enterprise technology company. HPE's commitment to "Personal & Professional Development" indicates a supportive environment for addressing these challenges through continuous learning.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for designing an automated test suite for a new REST API endpoint. What Python libraries would you use, and how would you handle error conditions?"
• "Walk me through a challenging bug you encountered. How did you debug it, what was the root cause, and how did you ensure it wouldn't recur?"
• "How do you balance the need for thorough testing with fast-paced agile development timelines? (Focus on efficiency, automation, and risk-based testing)."

Company & Culture Questions:

• "What interests you about HPE and our 'edge-to-cloud' strategy? How do you see quality assurance playing a role in that vision?"
• "Describe a time you had to collaborate with a difficult stakeholder or team member. How did you navigate the situation to achieve a positive outcome?"
• "How do you stay updated with the latest trends in QA automation and software testing?"

Portfolio Presentation Strategy:

• Structure: Organize your portfolio by project, clearly outlining the problem, your approach (tools, languages, methodologies), the solution you implemented, and the quantifiable results/impact.
• Technical Detail: Be prepared to dive deep into the code, architecture, and design decisions of your automation projects. Explain why you made certain choices.
• Storytelling: Frame your projects as stories that highlight your problem-solving skills, technical expertise, and ability to deliver value.
• Q&A Readiness: Anticipate questions about your code, methodology, challenges, and how your work aligns with HPE's goals.

📝 Enhancement Note: Expect the interview to heavily focus on practical application of Python for automation, API/UI testing, and your problem-solving abilities. Be ready to articulate your thought process clearly and demonstrate your impact through concrete examples.

📌 Application Steps

To apply for this operations position:

• Submit your application through the HPE careers portal via the provided URL.
• Curate Your Portfolio: Select 2-3 of your strongest projects that best showcase your Python automation skills for UI and REST API testing. Ensure these examples demonstrate your ability to design, implement, and maintain robust test solutions, with clear documentation of their impact.
• Optimize Your Resume: Tailor your resume to highlight keywords from the job description, such as "Python," "Automation Testing," "REST API," "UI Testing," "Agile," "Software Quality Assurance," and specific tools you've used. Quantify your achievements with metrics where possible.
• Prepare for Technical Assessments: Practice Python coding challenges and review concepts related to API testing, UI automation, and general software testing methodologies. Be ready to discuss your portfolio projects in detail during technical interviews.
• Research HPE: Familiarize yourself with HPE's company mission, "edge-to-cloud" strategy, recent news, and values. Understand how quality assurance contributes to their overall business objectives to articulate your interest and fit during interviews.

⚠️ 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.