Senior Lead Software Engineer - AI-Driven, Secure & Scalable

JPMorgan Chase & Co.; Ottawa; On-site; CAD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. in Ottawa area is seeking a Senior Lead Software Engineer to join the Consumer and Community Banking – Risk Technology Portfolio.

You will drive architecture across complex deliverables, implement AI-assisted engineering practices, and deliver secure, scalable software solutions in a large corporate environment. The role emphasizes hands-on development in Python/Java, Spark, and AWS, with a focus on data-driven improvements and operational stability.

Qualifications

• Formal training and certification on software engineering concepts and 5 years applied experience.
• In addition, 2 years of experience leading technologists to manage complex technical items.

Responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine.
• Drives adoption and governance of AI-assisted engineering practices to improve code quality and delivery speed.
• Applies knowledge of SDLC tools including AI-assisted development to drive efficiency.
• Creates secure and high-quality production code and maintains algorithms.
• Drive AI/ML delivery best practices along with software engineering practices.
• Defines architecture for complex deliverables.
• Gathers and analyzes data to develop visualizations and reporting for continuous improvement.
• Proactively identifies hidden problems and uses insights to improve coding hygiene.

Skills

Java

Python

Spark

Big Data

SQL

AWS

Databricks

CI/CD

Security

ML

Tools

Databricks

Spark

AWS

EC2

S3

Job description

JPMorgan Chase & Co. in Ottawa area is seeking a Senior Lead Software Engineer to join the Consumer and Community Banking – Risk Technology Portfolio.

You will drive architecture across complex deliverables, implement AI-assisted engineering practices, and deliver secure, scalable software solutions in a large corporate environment. The role emphasizes hands-on development in Python/Java, Spark, and AWS, with a focus on data-driven improvements and operational stability.