Job Summary
8 hour work day. Preferably in Mexico City area. Would like a hire to overlap/train before our incumbent rolls off the project end of August.) Please find below the requirements for the Performance Auto III Lead position to support COT applications. Regarding the senior it would be similar but not leading the team however some mentoring of a junior offshore team member would be required.
Responsibilities
1. Performance Test Scripting
Strong experience with JMeter scripting.
Ability to write or debug custom scripts using Groovy and JavaScript.
Experience with correlation parameterization assertions timers controllers reusable functions and custom logic.
Ability to troubleshoot script failures dynamic values authentication cookies headers and session handling.
2. Workload Modeling and Test Design
Ability to analyze business flows and design realistic workload models.
Experience designing load stress endurance spike and scalability tests.
Ability to calculate user load TPS or TPM pacing think time ramp up and transaction mix based on production usage.
Experience validating test data readiness and environment readiness.
3. Production Log and Traffic Analysis
Ability to analyze production logs and traffic patterns to identify peak usage transaction volume error trends and response time behavior.
Experience using production metrics to create accurate performance test scenarios.
Ability to compare production behavior with test environment results.
4. Monitoring and Observability
Hands on experience with Datadog AppDynamics and Kibana.
Ability to monitor application API JVM.NET IIS database container and infrastructure metrics.
Experience identifying bottlenecks related to CPU memory GC thread pools connection pools database queries downstream services cache and network latency.
Ability to correlate JMeter results with monitoring tool metrics.
5. AWS or Cloud or Container Monitoring
Experience monitoring applications hosted on AWS cloud platforms.
Understanding of containers Kubernetes or ECS or EKS pods services nodes CPU or memory limits autoscaling and cloud infrastructure behavior.
Ability to analyze container level performance issues and work with DevOps teams.
6. Distributed Testing Setup
Experience setting up and executing distributed performance tests.
Good understanding of load generators controller agent setup firewall or port issues data file distribution result collection and capacity planning.
Ability to debug common distributed testing challenges such as connectivity issues file path issues permission issues resource saturation and inconsistent results.
7. Performance Analysis and Reporting
Ability to analyze response times throughput error percentage percentiles saturation points and bottlenecks.
Strong skills in preparing clear Observations and Recommendations.
Ability to explain performance findings to technical and non technical stakeholders.
Experience working with development infrastructure database DevOps and application teams for root cause analysis.
8. Leadership and Communication
Should be able to lead performance testing activities independently.
Should have strong communication skills and the ability to coordinate with multiple teams.
Should be proactive in identifying risks blockers environment issues and test data gaps.
Should be able to mentor junior performance testers if needed.
Preferred Tools and Technologies
JMeter
Groovy / JavaScript
Datadog
AppDynamics
Kibana / Elasticsearch
AWS monitoring
Docker / Kubernetes / ECS / EKS
CI/CD pipeline integration
Git / Jenkins
API testing tools
SQL/log analysis
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。
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