Manager of Software Engineering - Java Fullstack & AWS
Aumni
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 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.
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
- 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 software engineering concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience
- Substantial experience with Java, Micro services, CI/CD pipeline, Github, AWS or Azure or GCP required
- Demonstrated experience with web application development using core Javascript, NodeJS, npm, React.js, React, HTML, SCSS/SASS and CSS
- Experience leading technology projects
- Experience managing 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, Application Resiliency, and Security
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience
- Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines
Preferred qualifications, capabilities, and skills
- Understanding of various machine learning algorithms, including supervised and unsupervised learning, neural networks and reinforcement learning
- End-to-end working knowledge on how a machine learning product is built