Senior Lead Python/PySpark Engineer – AI-Driven Data Pipelines

JP Morgan Chase; Singapore; On-site; SGD 150,000 - 220,000; Full time

Job summary

J.P. Morgan is seeking a Senior Lead Software Engineer in Singapore within the Corporate & Investment Bank Payments Tech – Regulatory Reporting.

You will lead an agile team to design, build, and deliver trusted, secure technology products with a focus on AI-assisted engineering practices and scalable data pipelines. You will own end-to-end delivery, drive secure production code, and collaborate with stakeholders to ensure data quality, lineage, and regulatory submission controls, leveraging AWS

Qualifications

• Minimum of 8 years of hands-on software development experience.
• Advanced in Python.
• Experience leading use of enterprise AI-assisted development tools with focus on correctness, performance and security.

Responsibilities

• Provide technical guidance to business and teams, contractors, and vendors.
• Own end-to-end delivery for Regulatory Reporting initiatives as a senior contributor.
• Develop secure, high-quality production code and review others' code.
• Promote and govern AI-assisted engineering practices to improve quality and delivery speed via secure coding and automated testing.
• Improve automation and tooling across the SDLC/TLM toolchain for scalable value creation.
• Build and optimize data pipelines and reporting workloads with Databricks Lakehouse (Delta Lake, Spark SQL, PySpark).
• Influence product design and operational processes; partner with stakeholders for regulatory submission controls.

Skills

Python

PySpark

Apache Spark

Spark SQL

Databricks Lakehouse

AI-assisted dev tools

AWS cloud

Education

Bachelor's degree in Computer Science/Information Systems/Engineering

Tools

Databricks Lakehouse

Delta Lake

Spark SQL

Job description

J.P. Morgan is seeking a Senior Lead Software Engineer in Singapore within the Corporate & Investment Bank Payments Tech – Regulatory Reporting.

You will lead an agile team to design, build, and deliver trusted, secure technology products with a focus on AI-assisted engineering practices and scalable data pipelines. You will own end-to-end delivery, drive secure production code, and collaborate with stakeholders to ensure data quality, lineage, and regulatory submission controls, leveraging AWS