JPMorgan Chase & Co.

Software Engineer III - Salesforce Testing

JPMorgan Chase & Co. Hyderabad, Telangana, India

Financial Services · 10,001+ employees

7 h ago Closes in 4d
salesforce Senior (5-10 yrs) Full-time India
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About the role

You will design and deliver secure, scalable technology products as a member of an agile team. Responsibilities include executing software solutions, troubleshooting technical problems, and leveraging AI-assisted tools to improve code quality and delivery speed.

What they look for

Salesforce Automation testing Selenium Cypress Data Loader SOQL Agile JIRA Software engineering Test planning Asynchronous integrations Sales Cloud Service Cloud AI-assisted development UAT Regression testing

Requirements

Candidates must have 6+ years of experience in Salesforce testing and 3+ years of general software engineering experience. A Salesforce Administrator certification and proficiency in automation tools like Selenium or Cypress are required.

Full description

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

As a Software Engineer III - Salesforce Automation at JPMorganChase within the Consumer & Community Banking Technology Team, 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

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies
  • 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 on software engineering concepts and 3+ years applied experience
  • 6+ years in creating comprehensive test plans for complex Salesforce implementations, including Sales and Service Clouds.
  • Experience in developing and maintaining automation scripts using tools like selenium, cypress etc.
  • Experience in testing complex asynchronous integrations.
  • Adept at using Data Loader and SOQL for validating data integrity across Salesforce objects and ensuring data accuracy.
  • Active participant in Agile ceremonies. Salesforce Administrator certification.
  • Ensures scalability of customizations and validates sharing rules, profiles, and permissions for robust security. Understanding of Agentforce features and testing strategy.
  • Strong knowledge of UAT, regression, functional, non-functional, data and end to end testing.
  • Ability to document, analyze, triage and manage defects through tools like JIRA, ensuring traceability and timely resolution.
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated 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 considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

Preferred qualifications, capabilities, and skills

  • Expertise in the financial services sector.

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