DescriptionWe have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III - QA Automation/Selenium/Java/Python at JPMorgan Chase within the Corporate Sector you will be a seasoned member of an agile team tasked with designing and delivering trusted market-leading technology products that are secure stable and scalable. You will be responsible for implementing critical technology solutions across multiple technical areas supporting various business functions to achieve the firms business objectives.
Job responsibilities
- Design develop and execute automated test scripts using industry-standard tools.
- Collaborate with business stakeholders to gather analyze and document business requirements and translate them into technical specifications.
- Develop and maintain test plans test cases and test data for functional regression and integration testing.
- Participate in Agile ceremonies (stand-ups sprint planning retrospectives) and contribute to continuous improvement initiatives.
- Perform root cause analysis of defects and recommend process improvements.
- Ensure traceability of requirements through test cases and test results.
- Prepare and present test reports metrics and quality assessments to stakeholders.
- Develop execute and maintain automated tests for cloud-based applications on AWS.
- Integrate AI/ML into test automation frameworks and validate their outputs.
- Analyze and test AI-driven features ensuring accuracy reliability and ethical compliance.
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 3 years applied experience
- Proficiency in at least one programming/scripting language (e.g. Java Python JavaScript).
- Hands-on experience with automation frameworks and tools (e.g. Selenium Cypress Cucumber JUnit TestNG).
- Strong understanding of software development life cycle (SDLC) and QA methodologies.
- Experience with requirements gathering analysis and documentation.
- Familiarity with Agile/Scrum methodologies.
- Excellent analytical problem-solving and critical-thinking skills.
- Strong written and verbal communication skills.
- Experience with version control systems (e.g. Git).
- Experience with AWS cloud services (e.g. EC2 S3 Lambda CloudFormation).
- Basic understanding of AI/ML concepts and ability to test AI-driven features.
Preferred qualifications capabilities and skills
- Experience with ETL KAFKA API testing tools Performance and load testing tools.
- Experience with continuous integration/continuous deployment (CI/CD) pipelines (e.g. Jenkins GitLab CI).
- Advanced experience with AWS cloud architecture deployment and monitoring. Preferably AWS certification.
- Knowledge of database querying and SQL.
- Experience with business process modeling and workflow tools.
- Familiarity with ethical considerations in AI testing.
DescriptionWe have an exciting and rewarding opportunity for you to take your software engineering career to the next level.As a Software Engineer III - QA Automation/Selenium/Java/Python at JPMorgan Chase within the Corporate Sector you will be a seasoned member of an agile team tasked with designi...
DescriptionWe have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III - QA Automation/Selenium/Java/Python at JPMorgan Chase within the Corporate Sector you will be a seasoned member of an agile team tasked with designing and delivering trusted market-leading technology products that are secure stable and scalable. You will be responsible for implementing critical technology solutions across multiple technical areas supporting various business functions to achieve the firms business objectives.
Job responsibilities
- Design develop and execute automated test scripts using industry-standard tools.
- Collaborate with business stakeholders to gather analyze and document business requirements and translate them into technical specifications.
- Develop and maintain test plans test cases and test data for functional regression and integration testing.
- Participate in Agile ceremonies (stand-ups sprint planning retrospectives) and contribute to continuous improvement initiatives.
- Perform root cause analysis of defects and recommend process improvements.
- Ensure traceability of requirements through test cases and test results.
- Prepare and present test reports metrics and quality assessments to stakeholders.
- Develop execute and maintain automated tests for cloud-based applications on AWS.
- Integrate AI/ML into test automation frameworks and validate their outputs.
- Analyze and test AI-driven features ensuring accuracy reliability and ethical compliance.
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 3 years applied experience
- Proficiency in at least one programming/scripting language (e.g. Java Python JavaScript).
- Hands-on experience with automation frameworks and tools (e.g. Selenium Cypress Cucumber JUnit TestNG).
- Strong understanding of software development life cycle (SDLC) and QA methodologies.
- Experience with requirements gathering analysis and documentation.
- Familiarity with Agile/Scrum methodologies.
- Excellent analytical problem-solving and critical-thinking skills.
- Strong written and verbal communication skills.
- Experience with version control systems (e.g. Git).
- Experience with AWS cloud services (e.g. EC2 S3 Lambda CloudFormation).
- Basic understanding of AI/ML concepts and ability to test AI-driven features.
Preferred qualifications capabilities and skills
- Experience with ETL KAFKA API testing tools Performance and load testing tools.
- Experience with continuous integration/continuous deployment (CI/CD) pipelines (e.g. Jenkins GitLab CI).
- Advanced experience with AWS cloud architecture deployment and monitoring. Preferably AWS certification.
- Knowledge of database querying and SQL.
- Experience with business process modeling and workflow tools.
- Familiarity with ethical considerations in AI testing.
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