Python Software Engineer II – AI/ML Data Platforms

JPMorganChase; New Jersey; On-site; USD 90,000 - 130,000; Full time

Job summary

JPMorganChase is seeking a Software Engineer II to join the AI/ML Data Platforms team. You will contribute to designing, developing, and troubleshooting software components for secure, scalable technology products within an agile environment.

You will work with Python, modern tooling, and enterprise observability practices to deliver high-quality solutions while adhering to security standards and SDLC processes.

Qualifications

• Formal training or certification on software engineering concepts and 2 years applied experience in design, development, testing, and operations.
• Experience in Python developing, debugging, and maintaining code in a large corporate environment.

Responsibilities

• Executes standard software solution design, development, and technical troubleshooting.
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance.
• Leverages AI coding assist tools to improve code quality, delivery speed, and productivity, while validating outputs through peer review and testing.
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems.
• Applies knowledge of SDLC tools including AI-assisted development to improve automation value.
• Applies technical troubleshooting to break down solutions and resolve basic complex problems.
• Gathers, analyzes, and draws conclusions from large data sets to identify problems and support secure, stable application development.
• Learns and applies system processes for secure, stable code and systems.

Skills

Python

Observability

CI/CD

Agile methodologies

Secure coding

Tools

Grafana

Dynatrace

Prometheus

Datadog

Splunk

Docker

Kubernetes

Job description

JPMorganChase is seeking a Software Engineer II to join the AI/ML Data Platforms team. You will contribute to designing, developing, and troubleshooting software components for secure, scalable technology products within an agile environment.

You will work with Python, modern tooling, and enterprise observability practices to deliver high-quality solutions while adhering to security standards and SDLC processes.