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Software Engineer III-Automation

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 3 days ago

No clicks

**Software Engineer III - Automation** designs & delivers secure, scalable tech products. Leads team in adopting AI-assisted practices, enhancing code quality & operational outcomes. Essential: 3+ yrs software engineering experience, system design, automation using Cucumber, Cypress, Selenium. Proficient in TDD, oracle databases, manual testing. Preferred: familiarity with modern front-end technologies, cloud technologies, trade domain exposure.

Compensation
Not specified

Currency: Not specified

City
Mumbai
Country
India

Full Job Description

Location: Mumbai, Maharashtra, India

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 JPMorgan Chase within the Commercial & Investment Bank Payments Technology team, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market-leading technology products that are secure, stable, and scalable.
 

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
  • Adds to team culture of diversity, opportunity, inclusion, and respect
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team

  • 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
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Hands-on experience in automation using Cucumber, Cypress, Selenium
  • Ability to customize BDD/Selenium in various integrations
  • Knowledge and ability to design, build maintain test automation framework
  • Experience in automation test cases and feature file creation
  • Experience of using a Test-Driven Development approach and associated testing frameworks, database - oracle
  • Experience in Manual Testing.  Track and publish the status or development, maintenance and execution of automation test suits
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.

  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

 

 

Preferred qualifications, capabilities, and skills

 

  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies
  • Experience on any domain-oriented systems. Trade domain is a plus
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team

Software Engineer III-Automation

Compensation

Not specified

City: Mumbai

Country: India

J.P. Morgan logo
Bulge Bracket Investment Banks

3 days ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

**Software Engineer III - Automation** designs & delivers secure, scalable tech products. Leads team in adopting AI-assisted practices, enhancing code quality & operational outcomes. Essential: 3+ yrs software engineering experience, system design, automation using Cucumber, Cypress, Selenium. Proficient in TDD, oracle databases, manual testing. Preferred: familiarity with modern front-end technologies, cloud technologies, trade domain exposure.

Full Job Description

Location: Mumbai, Maharashtra, India

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 JPMorgan Chase within the Commercial & Investment Bank Payments Technology team, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market-leading technology products that are secure, stable, and scalable.
 

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
  • Adds to team culture of diversity, opportunity, inclusion, and respect
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team

  • 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
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Hands-on experience in automation using Cucumber, Cypress, Selenium
  • Ability to customize BDD/Selenium in various integrations
  • Knowledge and ability to design, build maintain test automation framework
  • Experience in automation test cases and feature file creation
  • Experience of using a Test-Driven Development approach and associated testing frameworks, database - oracle
  • Experience in Manual Testing.  Track and publish the status or development, maintenance and execution of automation test suits
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.

  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

 

 

Preferred qualifications, capabilities, and skills

 

  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies
  • Experience on any domain-oriented systems. Trade domain is a plus
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team