JOB DESCRIPTIONThis 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 & Community Banking Team, 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, opportunity, inclusion, and respect for the team members and prioritizes diverse representation
Required qualifications, capabilities, and skills
- Formal training or certification on Java concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience..
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Proficiency with programming languages like Java is a must, SQL and experience in Spring boot, Micro services, AWS
- Hands-on experience in RDBMS; Oracle or PostgresSQL
- Proficiency in automation and continuous delivery methods
- Hands-on experience in AWS EC2, AWS Lambda, AWS KMS, AWS ECS, AWS EKS, AWS S3, EMR, Athena, SQS, EventBridge, PostgresSQL
- Hands-on experience with Cloud Infrastructure Provisioning Tools like Terraform & Cloud Formation etc
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred qualifications, capabilities, and skills
- Experience working at code level
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