IN - Senior Software Engineer PSR

Scope: A Performance Engineer is a mid - senior level resource with roles focused on individually contributing to the performance testing and analysis of a software applications. They should have enough understanding on Performance Testing and Engineering concepts. They work closely with senior team members to implement performance engineering practices and look for scope of improvement at code/application level. Our current technical environment: Software: Java, Springboot, Gradle, GIT, Hibernate, Rest API, OAuth Application Architecture: Scalable, Resilient, event driven, secure multi-tenant Microservices architecture Cloud Architecture: MS Azure (ARM templates, AKS, HD insight, Application gateway, Virtue Networks, Event Hub, Azure AD) Frameworks/Others: Kubernetes, Kafka, Elasticsearch, Spark, NOSQL, RDBMS, Springboot, Gradle GIT, Ignite What you'll do: PSR Requirement Gathering & Understanding: Perform requirement gathering like application understanding, NFR and scope definitions & workload modelling by coordinating with respective stake holders. Understand the workflows & dependencies for UI, Integration Jobs and/or Engines functionality available for SCM modules/application. Creating document/portal page for PSR test plan or test strategy. Test Script Development: Record & develop performance test scripts using tools like JMeter, Browser Dev tool or another relevant tool. Ensure scripting best practices are followed as documented in the portal page and implement the same in scripting. Assist in creating test data and scenarios to mimic real-world usage or workload as discussed with senior software engineer. Test Environment Setup: Help in setting up and maintaining test environments, including configuring performance testing tools. Ensure environments are properly configured and accessible for testing. DB Migration: To perform DB migration, schema diff and build deployment including DB management on need basis. Executing Performance Tests: Execute UI, Integration and/or Engine PSR executions to define baseline or benchmark in subsequent agile releases. Follow defined procedures to execute test scenarios and ensure the accuracy of results. Monitoring and Test Analysis/ Report Collation: Monitor system metrics during PSR executions, such as response times, CPU/memory usage, and server performance. Collect and collate the results and generate the report as per defined templates. Learning and Development: Continuously learn about performance testing techniques, tools, and best practices. Attend training sessions, workshops, and mentoring sessions to enhance skills. Collaboration with Team Members: Work closely with senior testers, developers, and other team members to understand testing requirements and objectives. Participate in meetings and discussions related to performance testing. Adherence to Standards and Processes: Follow established testing standards, processes, and guidelines. Ensure compliance with testing protocols and best practices. What we are looking for: BE/B. Tech or ME/M. Tech or MCA with 5 to 8 years of experience in Performance testing and engineering. Strong understanding of computer system. Understanding of Performance testing concepts. Working knowledge of SQL, with experience writing basic to moderately complex queries. Familiarity with tools like JMeter, LoadRunner, Gatling, BlazeMeter, NeoLoad, etc. Understanding of performance counters and system performance analysis. Working knowledge of SQL, with experience writing basic to moderately complex queries. In depth understanding of performance testing tools with ability to create and debugging performance script, set up, configure, and execute tests. Designing realistic test scenarios that mimic user behavior and load patterns. Knowledge of any of the monitoring tools like Dynatrace, New Relic, AppDynamics, or native tools like PerfMon (Windows) and top/vmstat (Linux). Analyzing metrics such as CPU usage, memory, disk I/O, and network throughput. Experience with cloud platforms like AWS, Azure, or Google Cloud, including scaling, load balancing, and monitoring.