Job Description :
Job requirement: Performance engineering expert needed for a large-scale mainframe to AWS cloud migration project with the critical non-functional requirements. He will be responsible to identify performance bottlenecks of the target cloud-native architecture and recommend tuning strategies. The candidate should be able to design, execute, monitor performance tests, perform root cause analysis of performance bottlenecks, and advise tuning measures in the overall architecture. The migrated application stack consists of the following technologies ? Springboot, Kubernetes, Kafka, Redis, S3, Airflow. The application supports high-volume real-time and batch transaction processing. Skillset required: ? Deep insight in performance testing tools techniques and strategies for a cloud-native microservice-based architecture for both real-time and batch data processing. ? Hands-on experience in building performance test automation. ? Hands-on experience (>5 Year) in developing cloud-native microservices using SpringBoot ? Experienced and deep understanding of GRPC based microservices. ? Hands-on experience in application development and tuning in the Kubernetes environment. ? Hands-on understanding of Java runtime environment and its performance traits and tuning. ? Hands-on experience in setting up monitoring services using Prometheus and Grifana based observability framework ? Deep understanding of large-scale event-driven architecture using Kafka event bus. ? Hands-on in Kafka performance optimization for the large scale event bus ? Deep insight into performance optimization of mission-critical high volume data caching architecture using Redis. ? Expert in AWS services like EKS, MKS, EC2, RDS, DynamoDB, S3, CloudWatch, Athena, Glue, Quicksight. ? Expert in DevOps processes and familiar with Jenkins Pipeline. ? Experienced in the SCRUM process. ? Should be able to interact directly with clients. ? Great team player.
             

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