Senior Engineering Lead - AI-Driven Big Data & Cloud

Fairygodboss; Plano (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

JPMorgan Chase seeks a Senior Lead Software Engineer to drive architecture and cloud-native platform initiatives within the Risk Technology portfolio. You will lead an agile team, deliver secure, scalable tech solutions, and guide AI-assisted engineering practices.

The role requires advanced skills in Python/Java, ML concepts, AWS, and big data pipelines, with leadership to influence design choices and ensure operational reliability across cloud and on-prem systems.

Qualifications

• Formal training and certification in software engineering concepts with 5+ years of applied experience.
• Leads technologists to solve complex items within domain.
• Experience in system design, application development, testing, and operational stability.

Responsibilities

• Provide technical guidance to the business, teams, contractors and vendors.
• Develop secure, high-quality production code; review and debug code.
• Drive AI-assisted engineering adoption across teams with measurable validation standards.
• Apply SDLC tooling and AI-assisted development to improve automation at scale.
• Design and develop large-scale cloud-native solutions on AWS.
• Deploy cloud-based solutions supporting analytics and day-to-day operations.
• Migrate legacy and big data apps to cloud-native with zero downtime.
• Influence product design, functionality, and operational decisions.
• Develop monitoring and automation tooling.

Skills

AI governance

Cloud computing

Python

Java

Big Data

Machine Learning

Software architecture

SDLC tooling

Leadership

Education

Computer science / software engineering degree

Tools

AWS

Spark

Hadoop

Databricks

CI/CD tooling

Job description

JPMorgan Chase seeks a Senior Lead Software Engineer to drive architecture and cloud-native platform initiatives within the Risk Technology portfolio. You will lead an agile team, deliver secure, scalable tech solutions, and guide AI-assisted engineering practices.

The role requires advanced skills in Python/Java, ML concepts, AWS, and big data pipelines, with leadership to influence design choices and ensure operational reliability across cloud and on-prem systems.