Senior Lead Software Engineer: Java/Python on AWS

JPMorgan Chase & Co.; Plano (TX); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, Texas, is seeking a Senior Lead Software Engineer to guide an agile team in delivering trusted, market-leading technology products within Corporate Technology.

You will drive end-to-end design, development, and delivery in a secure, scalable environment. The role emphasizes AI-assisted engineering practices, cloud-native development in AWS, and leadership of high-performing engineers.

Qualifications

• Formal training or certification in software engineering concepts.
• 10+ years hands-on experience in software development.
• Experience with Java, Python, AWS (EKS, S3, Lambda, EMR) and Terraform.
• Experience leading AI-assisted software development tools and validating outputs for correctness, performance, and security.
• Cloud security and infrastructure experience in AWS is required.
• Streaming systems knowledge (Kafka) and end-to-end delivery experience.

Responsibilities

• Executes creative software solutions, design, development, and debugging with the ability to tackle complex problems.
• Leads adoption of AI-assisted engineering practices to improve code quality and delivery speed.
• Applies SDLC tools and automation capabilities to improve value delivered by automation.
• Develops secure production code and mentors others in code health.
• Drives operational stability by identifying remediation opportunities and automating them.

Skills

Team leadership

Agile methodologies

Problem solving

Education

Formal software engineering training or certification

Tools

Java

Python

AWS

Terraform

Kafka

CI/CD tooling

Databricks

Job description

JPMorgan Chase & Co. in Plano, Texas, is seeking a Senior Lead Software Engineer to guide an agile team in delivering trusted, market-leading technology products within Corporate Technology.

You will drive end-to-end design, development, and delivery in a secure, scalable environment. The role emphasizes AI-assisted engineering practices, cloud-native development in AWS, and leadership of high-performing engineers.