Description

Perform performance engineering, analysis, testing, and tuning across distributed platforms including Linux, Windows, AWS, Containers, and VMware.

Responsibilities

• Analyze and tune performance for distributed platforms and n-tier J2EE applications.
• Conduct advanced statistical and analytical modeling, including time series analysis and forecasting.
• Develop and execute load tests using tools such as JMeter or LoadRunner.
• Model key performance and volume metric relationships using queuing networks and simulation concepts.
• Implement testing within CI/CD pipelines using Jenkins or similar tools.

Required Skills

• 6+ years of experience in performance engineering (analysis, testing, and tuning).
• 4+ years of experience developing n-tier, J2EE software applications.
• 4+ years of experience working in Unix or Linux environments.
• Expertise in performance analysis tools: TeamQuest, OMi, CloudWatch, Dynatrace, AppDynamics, or Splunk.
• Experience with load testing tools like JMeter or LoadRunner.
• Proficiency in scripting with Perl, Unix shell, Python, Terraform, Chef, or Jenkins.
• Experience with JMS/IBM-MQ messaging systems.
• Knowledge of RESTful web services, JSON, and XML.
• Experience with Relational Databases, preferably Oracle.
• Experience with AWS services including Kinesis, Elastic Beanstalk, CloudWatch, and Lambda.
• Experience working within Agile/Scrum teams and the full SDLC.

Preferred Skills

• Background in the financial services industry.
• Advanced Excel statistical functions and PowerPoint presentation skills.

Key Skills

Education

Bachelor’s Degree