Senior Engineering Lead - Big Data & Databricks on AWS

JPMorganChase; Plano (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorganChase is seeking an experienced software engineer to join an agile team delivering scalable technology products. You will design and implement cloud-native solutions on AWS, apply AI-assisted methods, and guide engineering practices across teams.

Ideal candidates bring hands-on system design, data pipelines, and machine learning experience, with a track record of secure, production-grade code and influencing architectural decisions at scale.

Qualifications

• 5+ years in software engineering and system design.
• Experience delivering large-scale cloud solutions.
• Experience with AI-assisted engineering practices.

Responsibilities

• Provides technical guidance to support the business and its technical teams, contractors, and vendors.
• Develops secure, high-quality production code and reviews others' code.
• Drives AI-assisted engineering practices to improve code quality, speed, and operation outcomes.
• Applies SDLC tooling to improve automation value across teams.
• Designs and builds large-scale cloud-based solutions using AWS.
• Deploys cloud solutions and migrates legacy/big data apps to cloud with zero downtime.
• Influences peers and project decisions on product design and operations.

Skills

Cloud (AWS)

Python

Java

ML/AI

Big Data

Data pipelines

SDLC tooling

Leadership

Tools

Spark

Hadoop

Databricks

CI/CD

Job description

JPMorganChase is seeking an experienced software engineer to join an agile team delivering scalable technology products. You will design and implement cloud-native solutions on AWS, apply AI-assisted methods, and guide engineering practices across teams.

Ideal candidates bring hands-on system design, data pipelines, and machine learning experience, with a track record of secure, production-grade code and influencing architectural decisions at scale.