About the role
As a QA Automation Engineer with Network Testing (Python/Linux) experience, you will make an impact by ensuring the quality, stability, performance, and reliability of real-time, low-latency enterprise systems. You will be a valued member of the Quality Engineering team and work collaboratively with development teams, infrastructure teams, product stakeholders, and global delivery partners to support successful testing, validation, and production readiness initiatives.
In this role, you will:
- Coordinate with internal and external stakeholders to plan, execute, and deliver testing activities and release validations.
- Perform end-to-end system qualification from data center distribution through client desktop environments.
- Execute performance, benchmarking, soak, and real-time data testing to validate throughput, latency, stability, and scalability.
- Analyze application, system, and network behavior under load, including CPU, memory, packet loss, latency, and jitter metrics.
- Develop and maintain automated test frameworks, scripts, and tooling using Python, Bash, and AI-assisted development technologies.
- Validate migration scenarios, backward compatibility requirements, and production deployment readiness.
- Troubleshoot issues across application, operating system, infrastructure, and network layers using diagnostic and monitoring tools.
- Support global testing cycles and maintain lab environments that accurately mirror client production environments.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days per week in the client or Cognizant office in Creve Coeur, Missouri. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
- Bachelor's degree or higher in Computer Science, Software Engineering, or a related technical discipline.
- 5+ years of experience in Quality Assurance, including manual, automation, performance, and system testing.
- Strong experience testing real-time, low-latency, or high-volume distributed systems.
- Hands-on expertise with performance testing, benchmarking, soak testing, throughput validation, and latency analysis.
- Strong Linux administration skills, including system configuration, monitoring, troubleshooting, and performance tuning.
- Proficiency in Python and Bash scripting for automation, testing, and data analysis.
- Experience with network protocols and diagnostics, including TCP/IP, UDP, multicast, routing, tcpdump, and Wireshark.
- Proven ability to analyze logs, system metrics, and application behavior to identify and resolve complex issues.
These will help you stand out
- Experience working with large-scale streaming data environments processing hundreds of thousands of events or more.
- Knowledge of Windows system administration, client validation, and enterprise integration practices.
- Experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, and Claude to accelerate testing and automation activities.
- Experience leveraging AI or machine learning techniques for anomaly detection, performance analysis, and root-cause investigation.
- Understanding of prompt engineering and AI-driven workflow optimization for quality engineering teams.
- Experience creating Technical Operations Notices (TON) and Notes for the Record (NFR).
- Familiarity with enterprise monitoring, observability, and testing platforms.
- Experience supporting global release management and rollout testing initiatives.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Salary and Other Compensation:
The annual salary for this position is between $53,477 to 92,500 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
