Senior Lead Software Engineer - Python, PySpark, Databricks

JPMORGAN CHASE BANK, N.A.; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

JPMorgan Chase Bank, N.A. in Singapore seeks a Senior Lead Software Engineer within the Corporate and Investment Bank Payments Technology - Regulatory Reporting to drive delivery of trusted, scalable technology products.

You will lead hands-on development and guide teams to build secure data pipelines and reporting workloads. Apply advanced PySpark, Databricks Delta Lake, and AI-assisted tooling to improve quality, speed, and controls for regulatory submissions while collaborating with

Qualifications

• Bachelor's degree in CS/IS/Engineering or related field.
• 8+ years in software development, design, testing, and operations.
• Advanced in Python.
• Experience using enterprise AI-assisted development tools.
• Strong in responsible AI usage and secure coding.
• Cloud native experience (AWS).
• Hands-on PySpark/Apache Spark and Databricks.
• Familiarity with Payments and Regulatory Reporting.

Responsibilities

• Provide technical guidance to business teams, contractors, and vendors.
• Own end-to-end technical delivery for Regulatory Reporting initiatives; stay hands-on.
• Develop secure, high-quality production code and review others' work.
• Promote AI-assisted engineering practices to improve quality and speed.
• Partner with stakeholders to deliver controls for regulatory submissions.
• Act as a subject matter expert and contribute to engineering communities.

Skills

Python

PySpark

Databricks

AWS

Regulatory Reporting

Data pipelines

Security

Leadership

Education

Bachelor's in CS/IS/Engineering

Tools

Delta Lake

Spark SQL

CI/CD

AI tooling

Job description

JPMorgan Chase Bank, N.A. in Singapore seeks a Senior Lead Software Engineer within the Corporate and Investment Bank Payments Technology - Regulatory Reporting to drive delivery of trusted, scalable technology products.

You will lead hands-on development and guide teams to build secure data pipelines and reporting workloads. Apply advanced PySpark, Databricks Delta Lake, and AI-assisted tooling to improve quality, speed, and controls for regulatory submissions while collaborating with