Lead Software Engineer - Data Engineer and Applied AI

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 140,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City seeks a Lead Software Engineer within Corporate Technology.

You will be an integral technical contributor, building secure, scalable software and delivering trusted market-leading technology products. Lead design reviews, automate remediation, and drive enterprise AI-assisted engineering practices to improve code quality, delivery speed, and operational stability across teams.

Qualifications

• Formal training or certification in software engineering concepts and 5+ years applied experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Experience building data pipelines using AWS/Databricks.
• Advanced in Java/Spring/SQL/Python/Spark.
• Proficiency in automation and CI/CD and secure coding practices.
• Understanding of agile methodologies and SDLC.

Responsibilities

• Executes creative software solutions and design, and troubleshoots complex problems.
• Develops secure production code and reviews others' code.
• Identifies opportunities to automate remediation for stability.
• Leads evaluation sessions with vendors and internal teams on architecture.
• Leads communities of practice to promote new technologies.
• Drives adoption of AI-assisted engineering practices with validation standards.

Skills

Java

Spring

SQL

Python

Apache Spark

CI/CD

Agile methodologies

Data pipelines

AWS

Databricks

AI-assisted development tools

Tools

Databricks

AWS

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 at JPMorganChase within the Corporate Technology, 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 break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• 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
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

• 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.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience

• Hands-on practical experience delivering system design, application development, testing, and operational stability.

• Experience in building data pipelines using AWS/Databricks

• Advanced in Java/spring/SQL/Python/Spark
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

• 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

• Applied AI experience is preferred (langchain/langgraph/agentic workflows/AIOps)