JP Morgan Chase

Runs a consumer bank and an investment bank

Senior Lead Software Engineer

Backend EngineeringConfirmed live in the last 24 hours

Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

A Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline is required.
At least 8 years of hands-on software development experience delivering system design, application development, testing, and operational stability is required.
Advanced proficiency in at least one programming language is required; Python is required.
Experience leading the effective use of enterprise-authorized AI-assisted software development tools for coding, code review, test acceleration, or troubleshooting, and setting expectations for validating AI outputs for correctness, performance, and security, is required.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and compliance with resiliency and security expectations, is required.
Experience coaching senior engineers or leads on compliant AI usage patterns and controls is required.
Ability to independently address design and functionality problems with little to no oversight is required.
Practical cloud-native experience is required; AWS experience is preferred.
Hands-on experience with PySpark, Apache Spark, and Databricks, including Delta Lake or Lakehouse, is required.
Exposure to Payments and Regulatory Reporting domains is required.

Responsibilities

Provide technical guidance and direction to support the business and its technical teams, contractors, and vendors.
Own end-to-end technical delivery for Regulatory Reporting initiatives while remaining hands-on as a senior individual contributor.
Develop secure, high-quality production code and review and debug code written by others.
Drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes, including AI-assisted code review and refactoring, test acceleration, release readiness, and incident or root-cause analysis; establish measurable validation standards for secure coding, peer review, and automated testing; and promote reuse of proven patterns and automation within the Software Development Life Cycle and TLM toolchain.
Apply knowledge of Software Development Life Cycle toolchain tools, including approved AI-assisted development and automation capabilities, to improve the value realized from automation at scale.
Build and optimize data pipelines and reporting workloads using Databricks Lakehouse, Delta Lake, Spark SQL, and PySpark.
Drive decisions that influence product design, application functionality, and technical operations and processes.
Partner with stakeholders to deliver controls for regulatory submissions, including data quality, lineage, reconciliation, and audit evidence.
Serve as a function-wide subject matter expert in one or more areas of focus.
Contribute to the engineering community by advocating firmwide frameworks, tools, and Software Development Life Cycle practices.

Desired Qualifications

Experience with agentic AI patterns for engineering automation and operational workflows within approved environments.
Experience with data quality and reconciliation frameworks for regulatory reporting.
Experience with continuous integration and continuous delivery and automated testing for data pipelines.
Exposure to AWS data services such as S3, Glue, Lambda, Step Functions, and EMR.
Exposure to observability tooling for production support, including logs, metrics, and traces.

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Corporate and Investment Bank (CIB) Payments Technology – Regulatory Reporting, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job 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 (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain
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

Required qualifications, capabilities, and skills

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 (e.g., for coding, code review, test acceleration, troubleshooting) 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

Preferred qualifications, capabilities, and skills

Experience with agentic AI patterns for engineering automation and operational workflows (within approved environments)
Experience with data quality/reconciliation frameworks for regulatory reporting
Experience with CI/CD and automated testing for data pipelines
Exposure to AWS data services (e.g., S3, Glue, Lambda, Step Functions, EMR)
Exposure to observability tooling (logs/metrics/traces) for production support

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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