Summary

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking and Digital Channels, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

1. Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
2. Develops secure and high-quality production code, and reviews and debugs code written by others.
3. Drives decisions that influence the product design, application functionality, and technical operations and processes.
4. Serves as a function-wide subject matter expert in one or more areas of focus.
5. Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.
6. Influences peers and project decision-makers to consider the use and application of leading-edge technologies.

Required qualifications, capabilities, and skills

1. Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience. 
2.  AWS or EKS or Terraform Certifications.
3. 10+ years of experience in java development along with leveraging Terraform to build infrastructure in AWS.
4. Proficient in AWS, EKS/ECS, Terraform for Java/Microservices based applications.
5. Extensive experience supporting middleware and cloud native technologies.
6. Hand-on experience with coding and testing microservices.
7. Hands-on practical experience delivering system design, application development, testing, and operational stability.
8. Advanced in one or more programming language(s)(Eg: Java, Python).
9. Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
10. Ability to tackle design and functionality problems independently with little to no oversight.
11. Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field.

Preferred qualifications, capabilities, and skills

1. Exposure to AI, Codeium.

Skills

• AWS
• Development
• Java
• Machine Learning
• Python
• Software Engineering