This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions.
As a Manager of Software Engineering at JPMorgan Chase within the Asset and Wealth Management, you lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team’s work adheres to compliance standards, business requirements, and tactical best practices. Drive critical multi-year initiatives on the TaxSmart platform, work with the team and the stakeholders to build a plan for these initiatives and think through the various flavors of testing that might be needed to ensure platform delivery, quality and stability. Additionally, drive multiyear quality initiatives around enhancing the QE team’s capabilities to achieve specific KRAs around F2B testing, defect metrics, insprint automation, reusability in frameworks, prod issue leakage, fungibility and cross-skilling etc.
Job responsibilities
Builds holistic QE strategies around multi-year, multi application programsDesigns, develops, and maintains reusable automated frameworks, tooling and utilities Builds CI automation capabilityCollaborates with cross-functional teams and business users to understand application requirements and ensure comprehensive test coverage.Builds robust QE processes to ensure optimal and smart coverage and testingCollaborates with the release and devOps teams to support pre and post deployment testsCollaborates with the business users, tradeOps team, vendors etc to support UAT needs as applicableLead & manages a team of technofunctional QEs
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience.Experience in having run complex initiatives in fintech organizations in the asset and wealth management domainStrong understanding of the asset and wealth management functioning and tradingStrong programming skills in Python, NodeJS, Java, Groovy, SQL, big data and an appetite to be able work on diverse technology at scaleExperience with version control systems (e.g., Git) and CI/CD tools.Excellent problem-solving, communication, collaboration and presentation skills to work effectively in a team environmentGood understanding of industry best practices around QE and dev around SDLC, metrics, release management etcExcellent leadership skills to be able to coach, groom and build clear career paths for individuals in the team
Preferred qualifications, capabilities, and skills
Experience working at code level