Software Engineer III - Performance Test Engineer

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the Consumer and Community Banking, 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.

Job responsibilities
- Design, develop, and execute load, stress, soak, and scalability tests for contact center applications (voice/IVR, chat, APIs) using JMeter, BlazeMeter, Hammer, and Cyara.
- Build and maintain reusable performance test scripts, scenarios, and test data for Amazon Connect and related AWS-hosted services.
- Analyze test results and system telemetry to identify bottlenecks, and partner with development and infrastructure teams on performance tuning and remediation.
- Define and track performance KPIs, guardrails, and acceptance criteria to prevent regressions across releases.
- Develop and maintain performance test infrastructure and automation integrated into CI/CD pipelines (e.g., Jenkins).
- Partner with developers, product owners, and operations teams to plan testing activities, troubleshoot production issues, and validate capacity for peak events.
- Produce clear performance reports and recommendations for technical and business stakeholders.
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
Required qualifications, capabilities, and skills
- Formal training or certification in software engineering concepts with 3+ years of applied experience .
- Hands-on experience in performance and load testing using JMeter and/or BlazeMeter .
- Experience testing contact center / telephony applications (voice, IVR, chat) and familiarity with tools such as Hammer and Cyara .
- Experience with AWS cloud services and Amazon Connect (or comparable cloud contact center platform).
- Proficient in at least one object-oriented programming language and SQL; ability to write and debug test automation code.
- Experience integrating automated tests into CI/CD pipelines (e.g., Jenkins) and using version control ( Git/Bitbucket ).
- Experience analyzing performance metrics and using observability/monitoring tools (e.g., CloudWatch, Grafana, Dynatrace, or equivalent).
- Hands-on experience using enterprise-authorized AI-assisted development tools, with the ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and adherence to security and resiliency expectations.
- Experience working in an Agile/Scrum team, including documenting test scenarios, executing tests, and reporting results.

Preferred qualifications, capabilities, and skills
- Experience with Cyara and Hammer test automation for contact center assurance.
- Familiarity with Amazon Connect contact flows, Lambda, and related AWS services (Polly, Lex, CloudWatch).
- Experience using AI tools (e.g., GitHub Copilot) to accelerate development and maintenance of performance test suites.
- Working knowledge of containerized workloads (ECS/EKS) and autoscaling concepts.
- Proficient with Jira, Confluence, and reporting/dashboarding tools.