Description
We have an exciting and rewarding opportunity for you to take your engineering career to the next level.
As a Software Engineer III at JPMorganChase within the Consumer & Community Banking and Core Deposits, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
As a Performance Engineer within CCB CBC, we look first and foremost for people who are passionate around solving business problems through innovation and engineering practices. You'll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You’ll work in a collaborative, trusting, thought-provoking environment—one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally. You will be responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
Perform testing of core banking applications on the mainframe by designing and executing comprehensive test strategies.
Modeling real-world client usage, automating tests across multiple technologies, and validating system capacity and resilience.
Collaborate with stakeholders to review requirements, ensure production stability, and proactively identify opportunities for optimization and growth, supporting the reliability and scalability of critical banking services.
Drive technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets.
Proactively identifies hidden problems and patterns in data and use these insights to drive improvements to application performance or system hygiene.
Present results at a technical and business level, comfortably call out risks, performance bottlenecks, or tuning recommendations.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts/performance testing and 3+ years of applied experience.
5+ years of hands-on practical experience in system design, application development, testing, and operational stability.
Proficient in coding in Core Java. C++, OOL, or additional programming languages and database querying languages.
Strong basic and conceptual knowledge of performance testing.
Experience in building load models, developing test approaches, and designing test plans and test scenarios.
Ability to code complex automated scripts using C and Core Java using LoadRunner functions and VUgen for webservices, SOAP, REST APIs and MQ.
Ability to script with enhanced correlation techniques, parameterization, validate against multiple users, and generate robust error handling scripts.
Measurements of application performance and processing ceilings to identify tuning opportunities or prepare for growth.
Ability to understand client behavior, use cases, and build load models with appropriate transactions per second, or # of concurrent users, understand/apply pacing vs think time, triangulate geographical positions with latency, and chaos engineering.
Understand application dependencies/cross-impacts and multiple tech stacks.
Preferred qualifications, capabilities, and skills
Additional skills of benefit would be experience in zSeries Mainframe, IBM MQ, or BMC MainView.
Experience in LoadRunner, DynaTrace, IBM MainView, MQ, and zSeries mainframe.
Working knowledge of Splunk for collecting metrics and validating production volumes to build testing load models.
Must be able to gain a clear understanding of product architecture and application flows in complex legacy platforms and cloud technologies.
Overall knowledge of the Software Development Life Cycle and agile methodologies such as CI/CD, Application Resiliency, and Security.
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).