Senior Lead Software Engineer - Python/PySpark/Java

JP Morgan Chase; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

JPMorganChase in Singapore seeks a Senior Lead Software Engineer to join the CIB Payments Technology – Regulatory Reporting group. You will lead end-to-end engineering, build secure production-grade code, and drive AI-assisted practices to improve coding, testing, and release readiness.

You will shape data pipelines with Databricks Lakehouse and collaborate with stakeholders on regulatory controls. The role demands 8+ years of hands-on software development, cloud native experience (AWS

Qualifications

• Bachelor's Degree in Computer Science/Information systems/ Engineering or related disciplines.
• Minimum of 8 years of hands-on software development experience delivering system design, application development, testing, and operational stability.
• Advanced in one or more programming language(s) (Python required).
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
• Ability to tackle design and functionality problems independently with little to no oversight.
• Practical cloud native experience (AWS preferred).
• Hands-on experience with PySpark/Apache Spark and Databricks (Delta Lake/Lakehouse).
• Good exposure to Payments and Regulatory Reporting domains.

Responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
• Owns end-to-end technical delivery for Regulatory Reporting initiatives; remains hands-on as a senior individual contributor.
• Develops secure and high-quality production code, and reviews and debugs code written by others.
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• Builds and optimizes data pipelines and reporting workloads using Databricks Lakehouse (Delta Lake, Spark SQL, PySpark).
• Drives decisions that influence the product design, application functionality, and technical operations and processes.
• Partners with stakeholders to deliver controls for regulatory submissions (data quality, lineage, reconciliation, audit evidence).
• Serves as a function-wide subject matter expert in one or more areas of focus.
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.

Skills

Python

PySpark

Databricks

Delta Lake

Spark SQL

AWS

CI/CD

AI-assisted tools

Data pipelines

Education

Bachelor's Degree in Computer Science/Information Systems/Engineering or related disciplines

Tools

Databricks

Delta Lake

Spark SQL

PySpark

AWS services

CI/CD tools

Job description

JPMorganChase in Singapore seeks a Senior Lead Software Engineer to join the CIB Payments Technology – Regulatory Reporting group. You will lead end-to-end engineering, build secure production-grade code, and drive AI-assisted practices to improve coding, testing, and release readiness.

You will shape data pipelines with Databricks Lakehouse and collaborate with stakeholders on regulatory controls. The role demands 8+ years of hands-on software development, cloud native experience (AWS