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
コグニザントについて
コグニザント(NASDAQ: CTSH)は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。







