DevOps Engineer

Required Skills : Containerization tools like Docker Scripting skills like Bash and Python Programming experience with Java and Spring Boot Strong microservices application support experience. Must be familiar with observability and APM tools like Splunk ELK AppDynamics etc. Proficient understanding of algorithms data structures architectural design patterns and best practices. Experience with Cloud

Hybrid in Irving TX

Project overview:

• As part of tech modernization and cloud migration digital applications are undergoing migration to Azure cloud environment. The applications are needed to be performance tested with the required tunable to be resilient enough.

Responsibilities:

• Performance Testing
• Design and execute performance tests to evaluate the systems responsiveness stability scalability and resource usage.
• Identify performance bottlenecks and provide recommendations for improvements.
• Analyze test results and generate detailed performance reports.
• Resiliency Testing
• Conduct resiliency tests to ensure the system can handle failures and recover gracefully.
• Implement and test failure scenarios to validate the systems 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.
• o 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.

Required Skills:

• 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

Preferred skills:

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