Automation Engineer

Job Title: Automation Engineer
Location: No; HybridIrving, TX
Duration: 12 Months

Job Summary

• What are the top 5-10 responsibilities for this position? (Please be detailed as to what the candidate is expected to do or complete on a daily basis)
   
  Performance Testing
• Design and execute performance tests to evaluate the system's responsiveness, stability, scalability, and resource usage.
• Identify performance bottlenecks and provide recommendations for improvements.
• Analyze test results and generate detailed performance reports.
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  Resiliency Testing
• Conduct resiliency tests to ensure the system can handle failures and recover gracefully.
• Implement and test failure scenarios to validate the system's fault tolerance.
• Recommend and validate resiliency patterns such as circuit breakers, bulkheads, and retries.
•  
  Performance Monitoring
• Set up and maintain performance monitoring tools to continuously track system performance.
• Analyze performance metrics and logs to detect and diagnose performance issues in real-time.
•  
  Capacity Planning
• Perform capacity planning to ensure the system can handle expected and peak loads.
• Provide recommendations for scaling resources based on performance data and future growth projections.
•  
  Performance Optimization
• Collaborate with development and operations teams to optimize code, database queries, and infrastructure configurations.
• Recommend best practices for performance tuning and optimization.
•  
  Kubernetes Performance Parameters
• Recommend and configure performance parameters for Kubernetes clusters, such as resource limits, requests, and autoscaling policies.
• Ensure optimal performance of containerized applications running in Kubernetes environments.
•  
  Resiliency Patterns
• Recommend and implement resiliency patterns like circuit breakers, rate limiters*** and fallback mechanisms to enhance system reliability.
• Validate the effectiveness of these patterns through testing and monitoring.
•  
  Documentation and Training
• Document performance testing methodologies, tools, and best practices.
• Provide training and support to development and operations teams on performance and resiliency best practices.
• 
  Continuous Improvement
• Continuously evaluate and improve performance testing and monitoring processes.
• Stay updated with the latest performance engineering tools, techniques, and industry trends.

• Experience with containerization technologies like Docker.
• String scripting skills in languages such as Bash, Python.
• Effective problem-solving and analytical skills
• Must be familiar with observability and APM tools like Splunk, ELK, AppDynamics etc
• Good understanding of Architecture patterns and resiliency.
• Programing experience in Java and Spring boot
• Strong microservices application support experience.
• Proficient understanding of algorithms, data structures, architectural design patterns and best practices.
• Experience with Cloud is required

• Experience working applications using Kubernetes platform is preferred
• Understanding of networking concepts, including DNS, load balancing, firewalls, and VPNs.

What does the interview process look like?
o How many rounds?
3 rounds

o Video, phone, or in person?
In person

o How technical will the interviews be?
It will be oral and code walk through