Job Description

JOB DESCRIPTION

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 Consumer and Community Banking, you will lead one or more tech teams in the personalization and insights (P&I) program. You will be responsible to collaborate with product leaders to define the technology strategy and roadmap, to lead, mentor and grow the engineering teams, to define integration strategies with adjacent product areas, and ultimately to deliver and launch engineering deliverables that enrich a personalized customer experience.

Job responsibilities

Manage engineering teams and be responsible for the technology delivery of the product priorities. A strong technical focus on "building the right thing in the right way" to enable high quality solutions that meet customers' needs Engage with business stakeholders to break down complex and ambiguous problems into technical design that an engineering team can implement under your guidance Champion engineering practices; Improve the effectiveness of the Engineering teams through coaching, mentoring and resolution of impediments Partner with leadership team for driving NFR, Modernization initiatives and controls Influence peer leaders and senior stakeholders across the business, product, and technology teams Ensure successful collaboration across teams and stakeholders Identify and mitigates issues to execute a book of work while escalating issues as necessary Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team Creates a culture of diversity, opportunity, inclusion, and respect for team members and prioritizes diverse representation

Required qualifications, capabilities, and skills

BS/MS degree in Computer Science, Engineering, Mathematics, or equivalent experience. Formal training or certification on Java concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience. Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives Experience with hiring, developing, and recognizing talent Experience working at code level Demonstrated ability to engineer for high availability, high resiliency, low latency and scale Expertise with NoSQL databases (Cassandra, MongoDB, etc.) Proficiency in multiple modern programming languages including Java, Spring, Spring Boot, Kafka and Spark Experience in Agile development and good understanding of SDLC methodologies/guidelines Excellent communication and problem-solving skills

Preferred qualifications, capabilities, and skills

Flink (preferred) Extensive practical cloud native experience; AWS patterns and services for big data processing, stream processing, application serving. Experience in working with high through put and scalable messaging technologies like Kafka, Kinesis.

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