Lead Software Engineer

Lead Software Engineer

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 JPMorganChase 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 practice

 

• 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

Experience Level

Senior Level