JPMorgan Senior Technical Product Associate- Digital Channels 

India, Karnataka, Bengaluru 

395795386

• Participate and drive design discussions along with engineering and agility leads
• Work with product, business, and application teams to write technical user stories
• Help with task prioritization and manage sprint in partnership with engineering and agility leads and Identify and manage cross-impact dependencies and risks
• Research code to determine current system functionality
• Execute testing of web services using tools like Soap UI/ Ready API to verify that the services meet the acceptance criteria defined in the user stories
• Facilitate communication between the project stakeholders and technology teams and create knowledge artifacts and share/upload them in Confluence for the team’s reference

Required qualifications, capabilities, and skills

• 10+ years with 5+ years of server-side application/platform development experience using Java, Spring, SOAP, REST, Monolith to Micro services evolution, XML and JSON message formats
• Experience building systems on public Cloud/ AWS and with a mix of SQL/NoSQL Database with demonstrated experience delivering highly scalable big data products
• Well versed with common Agile terms and methodology and using tools like JIRA and Confluence.
• Understanding of software development processes and procedures along with the ability to understand and review code
• Good verbal and written communication skills along with strong analytical and problem-solving skills
• Ability to forge lasting relationships with across scrum team members
• Masters/Bachelor’s degree in Computer Science or equivalent

Preferred qualifications, capabilities, and skills

• 4+ years of development exposure to Retail/Consumer banking and investment products
• Understanding of BDD/TDD and experience writing technical user stories in JIRA using industry standard notations like Gherkins and fluent with modern web technologies and web application frameworks
• Advanced knowledge of business processes and data analysis, as well as the ability to construct complex data queries and collaborate with colleagues