As a Manager of Software Engineering at JPMorgan Chase within the Corporate Technology - Liquidity Risk line of business, your role will involve leading a feature team and overseeing daily implementation activities. This includes identifying and escalating issues, ensuring your team's work aligns with compliance standards, meets business requirements, and follows tactical best practices.

Job responsibilities

• Provides guidance to immediate team of software engineers on daily tasks and activities
• Sets the overall guidance and expectations for team output, practices, and collaboration
• Anticipates dependencies with other teams to deliver products and applications in line with business requirements
• Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements
• Takes ownership for working with stakeholders from Corporate Treasury and Lines of Business to understand and refine requirements, influencing senior stakeholders to make the right decisions
• Manages a team software engineers, including individual coaching and career guidance
• Creates a culture of diversity, equity, inclusion, and respect for the team members and prioritizes diverse representation

Required qualifications, capabilities, and skills

• Formal training or certification on technology project leadership concepts and advanced applied experience. In addition, demonstrated coaching and mentoring experience
• Experience managing a team of technologists
• Proficient in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
• Experience delivering production changes to complex software using Java (or Scala) and associated frameworks (ideally Spark)
• Ability to solve data-oriented problems using multiple relevant technologies e.g. SQL, Relational DB, Spark, NoSQL etc. while optimizing for performance

Preferred qualifications, capabilities, and skills

• In depth knowledge of the financial services industry, ideally with experience in Liquidity and/or Risk domains
• Real-world experience with Spark performance tuning of complex calculations on large datasets