Lead Software Engineer - AWS, Python/Java - AI/ML

JP Morgan Chase; Jersey City (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

JP Morgan Chase in Jersey City seeks a Lead Software Engineer - AWS, Python/Java to push the limits of what’s possible within Wealth Management Technology. You will be a core technical contributor, delivering secure, scalable software and data solutions in an agile environment.

You’ll lead development across AI/ML-enabled features, implement secure coding practices, and coach engineers on responsible AI use while collaborating with vendors and internal teams to align architecture with business

Qualifications

• Formal training or certification in software engineering concepts and 5+ years applied experience.
• Strong experience in Data Engineering, Python, SQL, AWS Tech Stack.
• Exposure to knowledge graphs, entity resolution, Anomaly detection, or recommendation systems.
• Strong hands-on Python development experience, with production-grade applications and data pipelines.
• Demonstrated proficiency in PySpark and AWS Glue, build and optimize distributed data-processing workflows.
• Strong SQL skills and experience with data processing and data engineering workloads.
• Hands-on experience with AWS cloud services and building cloud-native solutions.
• Solid software engineering fundamentals for production environments.
• Experience leading use of AI-assisted development tools with code validation for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, data sensitivity, and security.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting with ability to tackle complex problems.
• Develops secure and high-quality production code, and reviews and debugs code written by others.
• Drives team adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
• Applies knowledge of SDLC tools and AI-assisted development and automation capabilities.
• Identifies opportunities to automate remediation of recurring issues to improve stability.
• Leads evaluation sessions with vendors, startups, and internal teams on architectural designs and applicability.

Skills

Data Engineering

Python

SQL

AWS

PySpark

Java

AI-assisted engineering practices

Tools

AWS Glue

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer - AWS, Python/Java - AI/ML at JPMorgan Chase within the Consumer & Community Banking's Wealth Management Technology team, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Strong experience inData Engineering,Python, SQL, AWS Tech Stack
• Exposure to knowledge graphs, entity resolution, Anomaly detection, or recommendation systems.
• Strong hands-onPythondevelopment experience, with the ability to design, build, and support production-grade applications and data pipelines.
• Demonstrated proficiency in PySpark and AWS Glue, with the ability to build and optimize distributed data-processing workflows.
• StrongSQL skillsand experience working with data processing and data engineering workloads.
• Hands-on experience withAWS cloud services and building cloud-native solutions.
• Solid software engineering fundamentals, with experience delivering and supporting solutions in a production environment.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (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 engineers on safe, compliant adoption within delivery practices

Preferred qualifications, capabilities, and skills

• Proficiency in automation and continuous delivery methods; strong SDLC discipline (CI/CD, testing, code quality, release controls)
• Advanced understanding of agile delivery, application resiliency, and secure engineering practices
• Strong hands-on Java development experience
• Knowledge of responsible AI practices, including secure data handling, traceability, and governance in regulated environments.
• Prior experience in financial services domain