Mobile Performance Test Engineer (NeoLoad, API, UI, Mobile)

Capgemini
Full-timeβ€’$70k-94k/year (USD)β€’New York, United States

πŸ“ Job Overview

Job Title: Mobile Performance Test Engineer (NeoLoad, API, UI, Mobile)

Company: Capgemini

Location: New York, NY

Job Type: Full-Time

Category: Quality Assurance / Performance Engineering

Date Posted: May 06, 2026

Experience Level: Mid-Level (2-5 years)

Remote Status: On-site

πŸš€ Role Summary

  • This role is critical for ensuring the scalability, stability, and reliability of Capgemini's client-facing applications through rigorous performance testing.

  • The focus is on leveraging advanced performance testing tools, specifically NeoLoad, to simulate real-world user loads across diverse platforms including APIs, web interfaces, and mobile applications.

  • Key responsibilities involve the end-to-end lifecycle of performance testing, from strategy design and script development to execution, analysis, and reporting, with a strong emphasis on identifying and resolving performance bottlenecks.

  • Successful candidates will play a pivotal role in integrating performance testing practices into modern CI/CD pipelines, thereby contributing to faster and more reliable software delivery cycles for Capgemini's clients.

πŸ“ Enhancement Note: While the original job description focuses on technical testing, this role is framed within the context of a consulting firm (Capgemini). This implies that the engineer will not only perform technical tasks but also interface with clients, understand their business needs related to performance, and translate those into actionable test strategies. The "client-facing" aspect and "unlocking value of technology" in the company description suggest a consultative approach to performance engineering.

πŸ“ˆ Primary Responsibilities

  • Design, develop, and execute comprehensive performance test strategies, including load, stress, spike, and endurance testing, for complex distributed systems.

  • Develop and maintain robust, scalable, and reusable performance test scripts using NeoLoad, ensuring high fidelity to production environments.

  • Conduct detailed performance testing for APIs (REST/SOAP), web user interfaces (Web UI), and native mobile applications (Android/iOS) to identify and diagnose performance limitations.

  • Analyze performance test results, correlating metrics from NeoLoad with server-side monitoring (APM tools, system logs) to pinpoint performance bottlenecks and root causes.

  • Collaborate effectively with cross-functional teams, including development, DevOps, infrastructure, and business stakeholders, to communicate findings and drive performance improvements.

  • Generate insightful performance test reports, clearly articulating test outcomes, identified issues, and actionable recommendations for optimization and capacity planning.

  • Integrate performance testing activities into CI/CD pipelines (e.g., Jenkins, GitLab) to enable continuous performance monitoring and validation throughout the development lifecycle.

  • Support capacity planning exercises and provide data-driven insights to ensure applications are production-ready and can handle anticipated user loads.

πŸ“ Enhancement Note: The responsibilities are expanded to explicitly include the full performance testing lifecycle, from strategy to integration, and to highlight the consultative nature of reporting and collaboration required in a client-facing role.

πŸŽ“ Skills & Qualifications

Education:

Experience:

  • 2-5 years of hands-on experience in performance testing and engineering, with a proven track record of successfully delivering performance testing projects.

Required Skills:

  • Strong, hands-on expertise with NeoLoad for scripting, execution, and analysis of performance tests.

  • Solid understanding of performance testing methodologies, concepts, and best practices.

  • Extensive experience performing performance testing for APIs (REST, SOAP), including understanding request/response structures and authentication mechanisms.

  • Proficiency in Web UI performance testing techniques and tools.

  • Experience with mobile application performance testing (Android and iOS), including understanding mobile network conditions and device performance characteristics.

  • Familiarity with monitoring and Application Performance Management (APM) tools (e.g., Dynatrace, AppDynamics, New Relic) and key performance metrics.

  • Knowledge of data formats and protocols such as HTTP, HTTPS, JSON, and XML.

  • Hands-on experience with CI/CD tools such as Jenkins or GitLab for integrating performance tests into automated workflows.

Preferred Skills:

  • Experience with other performance testing tools (e.g., JMeter, LoadRunner).

  • Scripting or programming experience in languages like Python, Java, or JavaScript for test script enhancement or automation.

  • Understanding of cloud environments (AWS, Azure, GCP) and their impact on application performance.

  • Experience with containerization technologies (Docker, Kubernetes).

  • Knowledge of database performance tuning principles.

πŸ“ Enhancement Note: The "2-5 years" experience level is inferred from the AI-generated range. The educational requirement is a standard assumption for such technical roles. Preferred skills are added to enhance the candidate profile and suggest areas for professional development.

πŸ“Š Process & Systems Portfolio Requirements

Portfolio Essentials:

  • Demonstrate a portfolio showcasing successful performance testing projects, highlighting the challenges, methodologies, and outcomes.

  • Include case studies detailing the design and execution of load, stress, and endurance tests using NeoLoad, with clear metrics on application response times, throughput, and resource utilization.

  • Present examples of performance test scripts developed for APIs, Web UI, and mobile applications, illustrating best practices in script logic, parameterization, and correlation.

Process Documentation:

  • Provide documentation or examples of performance test plans, outlining scope, objectives, test scenarios, and resource requirements.

  • Illustrate the process for analyzing performance test results, including data interpretation from NeoLoad and integration with monitoring tools.

  • Detail methodologies used for integrating performance testing into CI/CD pipelines, including automation steps and reporting mechanisms.

πŸ“ Enhancement Note: This section is tailored to a technical role like performance engineering, emphasizing the need for a portfolio that demonstrates practical application of skills, process documentation, and analytical capabilities. The focus is on tangible proof of performance testing expertise.

πŸ’΅ Compensation & Benefits

Salary Range: $70,000 - $93,767 per year

Benefits:

  • Comprehensive Paid Time Off: Includes vacation days (12-25 days based on grade), company-paid holidays, personal days, and sick leave, providing flexibility for work-life balance.

  • Health and Wellness: Medical, dental, and vision coverage to ensure employee well-being.

  • Retirement Savings: Access to retirement savings plans, such as 401(k) in the US and RRSP in Canada, to support long-term financial security.

  • Insurance Coverage: Life and disability insurance to provide financial protection for employees and their families.

  • Employee Support: Employee Assistance Programs (EAPs) offering confidential counseling and support services.

  • Additional Benefits: Other benefits are available based on local policy and eligibility, potentially including professional development stipends or wellness programs.

Working Hours: 40 hours per week

  • The standard 40-hour work week is expected, with potential for flexibility depending on project demands and client needs, common in consulting environments.

πŸ“ Enhancement Note: The salary range is directly extracted from the input. The benefits list is comprehensive, detailing each item mentioned in the source text and framing them to highlight their value to professionals. The working hours are specified, with a note on potential consulting-related flexibility.

🎯 Team & Company Context

🏒 Company Culture

Industry: Technology Consulting and Services

  • Capgemini operates within the global technology services and consulting industry, focusing on digital transformation, cloud, data, and sustainability. This context means the performance engineer will work on diverse client projects across various sectors, requiring adaptability and broad technical understanding.

Company Size: Approximately 340,000+ employees globally, with a significant presence in over 50 countries.

  • Being part of a large, global organization offers opportunities for diverse project exposure, international collaboration, and access to extensive internal resources and training programs. For operations professionals, this scale often means structured career paths and specialized teams.

Founded: Over 55 years ago.

Team Structure:

  • Performance engineers typically operate within dedicated Quality Assurance (QA) or specialized Performance Engineering teams, often aligned with specific client engagements or service lines.

  • Reporting structures may vary, with engineers often reporting to a QA Lead, Performance Engineering Manager, or Project Manager, depending on the engagement model.

Methodology:

  • Capgemini emphasizes a data-driven approach to consulting and service delivery, utilizing analytics to understand client challenges and measure impact.

  • Workflow planning and optimization are central to client engagements, aiming to improve efficiency, reduce costs, and enhance user experience through technology solutions.

  • Automation and efficiency practices are core to their service offerings, including the integration of automated testing into client development and deployment processes.

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

πŸ“ Enhancement Note: This section contextualizes Capgemini as a large, global consulting firm, highlighting how this impacts the work of a performance engineer. The emphasis is on client-facing roles, diverse projects, and a structured, data-driven approach typical of consulting environments.

πŸ“ˆ Career & Growth Analysis

Operations Career Level: Mid-Level Performance Test Engineer

Reporting Structure:

Operations Impact:

Growth Opportunities:

  • Specialization: Deepen expertise in specific performance testing tools (e.g., advanced NeoLoad features, cloud-native performance testing) or performance testing for specific technologies (e.g., microservices, AI/ML platforms).

  • Leadership: Progress to a Senior Performance Test Engineer role, leading test efforts, mentoring junior engineers, and contributing to pre-sales activities or client proposals.

  • Cross-functional Development: Transition into broader QA leadership, Solution Architecture, or DevOps roles, leveraging a strong understanding of application performance and reliability.

  • Industry Certifications: Pursue relevant certifications in performance testing, cloud technologies, or specific vendor tools to enhance credentials and marketability.

πŸ“ Enhancement Note: This section analyzes the career trajectory for a performance engineer within a consulting firm like Capgemini, emphasizing the impact of their work on client business outcomes and outlining clear paths for advancement and skill development.

🌐 Work Environment

Office Type: Primarily an "on-site" role, indicating work from a Capgemini office or potentially a client's designated workspace.

  • The on-site nature facilitates direct collaboration, team synergy, and access to dedicated testing environments and infrastructure, which can be crucial for performance testing.

Office Location(s): New York, NY

Workspace Context:

  • The workspace is expected to be collaborative, with performance engineers working closely with development, QA, and DevOps teams in a shared office environment.

  • Access to necessary testing tools, hardware (including mobile devices), and robust network infrastructure is essential for effective performance testing.

  • Opportunities for regular team meetings, knowledge-sharing sessions, and ad-hoc discussions are common, fostering a dynamic and supportive work environment.

Work Schedule: Standard business hours (e.g., 9 AM to 5 PM) apply, with potential for some flexibility or off-hours work during critical testing phases or client-specific requirements.

  • While a standard schedule is in place, the nature of performance testing sometimes necessitates executing tests during off-peak hours to simulate production load conditions accurately, requiring adaptability.

πŸ“ Enhancement Note: This section clarifies the on-site nature of the role and its implications for collaboration and workspace setup, emphasizing the proximity to clients and teams common in consulting.

πŸ“„ Application & Portfolio Review Process

Interview Process:

  • Initial Screening: A recruiter or HR representative will typically conduct an initial call to assess basic qualifications, interest, and cultural fit.

  • Technical Interview(s): Expect one or more interviews focusing on technical skills. This will likely involve in-depth questions about NeoLoad, performance testing methodologies, API testing, mobile testing, CI/CD integration, and troubleshooting scenarios.

  • Problem-Solving/Case Study: A practical exercise may be presented, such as analyzing a performance issue, designing a test scenario for a given application, or interpreting performance metrics. This might be a take-home assignment or a live coding/analysis session.

  • Hiring Manager/Team Interview: A discussion with the hiring manager or potential team members to evaluate team fit, soft skills, communication abilities, and overall suitability for the role and Capgemini's consulting environment.

  • Final Round: Potentially a final interview with a senior leader or department head.

Portfolio Review Tips:

  • Quantify Achievements: For each project in your portfolio, provide specific, measurable results. Instead of "Improved performance," state "Reduced API response time by 30% under 1000 concurrent users."

  • Showcase NeoLoad Expertise: Highlight complex scripts you've developed, advanced NeoLoad features you've utilized (e.g., correlation, parameterization, custom actions), and how you've used its analysis capabilities.

  • Demonstrate Problem-Solving: Present a case study where you identified a critical performance bottleneck, the steps you took to diagnose it, and the solution implemented. Clearly articulate the impact of your findings.

  • Illustrate CI/CD Integration: If possible, show how you've integrated performance testing into automated pipelines, including examples of triggers, reporting, and feedback loops.

  • Tailor to the Role: Emphasize experience with API, Web UI, and Mobile performance testing as specified in the job description.

Challenge Preparation:

  • Scenario-Based Questions: Prepare to answer "how would you test..." questions for various application types (web, mobile, API) under different load conditions.

  • Tool Proficiency: Be ready to discuss your experience with NeoLoad in detail, including troubleshooting common issues encountered during script execution or analysis.

  • Metrics Interpretation: Practice interpreting common performance metrics (response time, throughput, error rate, latency, resource utilization) and explaining their significance.

  • Client Communication: Consider how you would explain complex technical performance issues to non-technical stakeholders.

πŸ“ Enhancement Note: This section provides actionable advice for candidates, focusing on how to prepare for the interview process and present a compelling portfolio, with specific emphasis on NeoLoad and client-facing aspects relevant to consulting.

πŸ›  Tools & Technology Stack

Primary Tools:

  • NeoLoad: The core performance testing tool for scripting, execution, and analysis. Proficiency in its various features, including scenario design, parameterization, correlation, custom code integration, and reporting, is essential.

  • API Testing Tools: Familiarity with tools or methods for testing APIs directly, beyond NeoLoad’s capabilities (e.g., Postman, cURL, or scripting within NeoLoad).

  • Mobile Testing Frameworks: Understanding of how to test mobile application performance, potentially involving device farms, emulators/simulators, and mobile-specific monitoring tools.

Analytics & Reporting:

  • NeoLoad Reporting: Expertise in generating and interpreting reports from NeoLoad, including detailed analysis of results.

  • APM Tools: Experience with Application Performance Monitoring tools such as Dynatrace, AppDynamics, New Relic, or similar, for deep-dive analysis of application behavior and infrastructure performance.

  • System Monitoring Tools: Familiarity with tools for monitoring server resources (CPU, memory, disk I/O, network) on Linux/Unix systems (e.g., top, htop, vmstat, iostat).

CRM & Automation:

  • CI/CD Tools: Hands-on experience with Jenkins or GitLab is required for integrating performance test execution into automated build and deployment pipelines.

  • Version Control Systems: Proficiency with Git for managing test scripts and code.

  • Scripting Languages: Experience with scripting languages like Python, JavaScript, or shell scripting can be beneficial for test script enhancements or automation tasks.

πŸ“ Enhancement Note: This section details the specific technology stack relevant to a performance test engineer, emphasizing NeoLoad as the primary tool and including other critical components like APM, CI/CD, and scripting languages.

πŸ‘₯ Team Culture & Values

Operations Values:

  • Quality & Reliability: A core value is ensuring the highest quality and reliability of client applications through rigorous testing.

  • Data-Driven Decision Making: Decisions regarding performance improvements and issue resolution are based on empirical data derived from testing and monitoring.

  • Client Focus: A strong emphasis on understanding client needs and delivering solutions that provide tangible business value and enhance user experience.

  • Continuous Improvement: A commitment to constantly refining testing processes, adopting new tools and techniques, and learning from each project to improve efficiency and effectiveness.

  • Collaboration & Teamwork: Fostering a collaborative environment where team members support each other, share knowledge, and work together to achieve common goals.

Collaboration Style:

  • Cross-functional Integration: Performance engineers are expected to be highly collaborative, working seamlessly with development, DevOps, and project management teams to ensure performance considerations are integrated early and throughout the development lifecycle.

  • Proactive Communication: Maintaining open and proactive communication channels with all stakeholders, providing regular updates on test progress, identified issues, and recommendations.

  • Knowledge Sharing: Actively participating in team meetings, brown bag sessions, and internal forums to share best practices, lessons learned, and expertise in performance engineering.

πŸ“ Enhancement Note: This section infers cultural values and collaboration styles based on Capgemini's positioning as a global consulting firm, emphasizing client focus, data-driven approaches, and strong teamwork.

⚑ Challenges & Growth Opportunities

Challenges:

  • Complex Application Architectures: Navigating and testing increasingly complex, distributed, and microservices-based architectures can be challenging, requiring sophisticated testing strategies.

  • Environment Management: Ensuring performance test environments accurately mirror production environments can be difficult due to cost, complexity, and dynamic changes.

  • Data Generation: Creating realistic and sufficient test data for complex scenarios, especially for mobile applications and large-scale APIs, requires careful planning.

  • Interpreting Diverse Metrics: Synthesizing performance data from multiple sources (NeoLoad, APM, infrastructure logs) into a coherent and actionable narrative for stakeholders.

  • Client Expectations: Managing and meeting diverse client expectations regarding performance levels and timelines within consulting engagements.

Learning & Development Opportunities:

  • Advanced Tool Training: Opportunities to receive advanced training and certification in NeoLoad and other leading performance engineering tools.

  • Cloud Performance Specialization: Developing expertise in performance testing for cloud-native applications and cloud platforms (AWS, Azure, GCP).

  • Emerging Technologies: Gaining experience with performance testing for newer technologies like AI/ML, IoT, and serverless computing.

  • Consulting Skills Development: Enhancing client-facing skills, presentation abilities, and business acumen through project experience.

  • Mentorship Programs: Access to mentorship from senior performance engineers and industry experts within Capgemini.

πŸ“ Enhancement Note: This section outlines potential challenges inherent in performance engineering roles, especially within a consulting context, and highlights the growth opportunities available at a large firm like Capgemini.

πŸ’‘ Interview Preparation

Strategy Questions:

  • "How would you design a performance test strategy for a new e-commerce mobile application that needs to handle 10,000 concurrent users during a flash sale?" (Focus on scenario definition, load profiles, key metrics, and tool selection).

  • "You've run a load test and observed high CPU utilization on the application servers, but NeoLoad shows acceptable response times. How would you investigate further?" (Focus on correlation of metrics, APM tools, server monitoring, and bottleneck analysis).

Company & Culture Questions:

  • "What do you know about Capgemini's approach to digital transformation and how does performance engineering fit into that?" (Research Capgemini's services and value proposition).

  • "How do you ensure effective communication with non-technical stakeholders about performance issues?" (Focus on clarity, data visualization, and business impact).

Portfolio Presentation Strategy:

  • Structure Your Case Studies: For each major project, follow a clear structure: Project Background -> Objectives -> Challenges -> Your Approach (Tools, Scenarios, Metrics) -> Results (Quantifiable improvements) -> Recommendations -> Lessons Learned.

  • Visualize Data: Use charts and graphs from NeoLoad or other tools to illustrate performance trends, bottlenecks, and improvements. Avoid overwhelming with raw data.

  • Highlight NeoLoad Specifics: Be ready to walk through parts of your NeoLoad scripts or analysis dashboards, explaining your choices and methodologies.

  • Focus on Impact: Clearly articulate the business impact of your performance testing efforts – e.g., preventing outages, improving user satisfaction, reducing infrastructure costs.

πŸ“ Enhancement Note: This section provides specific, actionable interview preparation advice, including sample questions and strategies for presenting a portfolio, tailored to the performance engineering role at Capgemini.

πŸ“Œ Application Steps

To apply for this operations position:

  • Submit your application through the provided application link on the Capgemini careers website.

  • Portfolio Customization: Prepare your portfolio to prominently feature projects where you utilized NeoLoad for API, Web UI, and Mobile performance testing. Quantify your achievements with specific metrics and clearly outline the problem, your solution, and the impact.

  • Resume Optimization: Tailor your resume to highlight keywords from the job description, such as "NeoLoad," "Performance Testing," "API Testing," "Mobile Performance," "CI/CD," "Jenkins," and "Linux/Unix." Emphasize achievements and responsibilities that align with the core responsibilities listed.

  • Interview Preparation: Practice answering technical questions related to performance testing methodologies and tools. Prepare to discuss your experience with NeoLoad in detail and be ready to walk through your portfolio examples during interviews.

  • Company Research: Familiarize yourself with Capgemini's services, client engagements, and company values. Understand how performance engineering contributes to their overall mission of digital and sustainable transformation.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.


Application Requirements

Requires strong hands-on experience with NeoLoad and a deep understanding of performance testing methodologies for Android and iOS. Proficiency in Linux/Unix, CI/CD tools, and data formats like JSON and XML is essential.