AI-Driven Software Engineer III - ML & Secure Cloud

JPMorgan Chase & Co.; Plano (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX is seeking a Software Engineer II to join an Agile team building secure, scalable software components for state-of-the-art financial technology products.

You will develop production code, review peers, and drive AI-assisted engineering practices across the SDLC to boost quality, speed, and reliability, while adhering to responsible AI standards. Candidates should have 3+ years of software engineering experience, Python and ML frameworks, cloud ML platforms, and

Qualifications

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Experience building, deploying, and maintaining ML platforms or infrastructure.
• Proficiency in Python and ML frameworks; SQL, Spark.
• Experience with cloud-based ML platforms (SageMaker, GCP, Azure) or on-prem ML.
• Demonstrated use of AI-assisted development tools with secure outputs.

Responsibilities

• Executes software solutions and troubleshoots complex problems.
• Develops secure, high-quality production code and reviews peer code.
• Drives AI-assisted engineering practices to improve quality, delivery speed, and operations.
• Uses SDLC tools and AI-assisted automation to improve automation value.
• Identifies opportunities to automate recurring issues for stability.
• Leads evaluation sessions with vendors and internal teams.
• Designs and troubleshoots with consideration of upstream and downstream systems.
• Applies AI-assisted development to improve automation.
• Performs data analysis to support secure, stable applications.

Skills

Python

ML frameworks

Data processing

CI/CD

Education

Software engineering certification

Tools

Spark

Pandas

SQL

SageMaker

Azure ML

GCP AI Platform

Job description

JPMorgan Chase & Co. in Plano, TX is seeking a Software Engineer II to join an Agile team building secure, scalable software components for state-of-the-art financial technology products.

You will develop production code, review peers, and drive AI-assisted engineering practices across the SDLC to boost quality, speed, and reliability, while adhering to responsible AI standards. Candidates should have 3+ years of software engineering experience, Python and ML frameworks, cloud ML platforms, and