Location: Jersey City, NJ, United States

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 Cybersecurity and Technology Controls line of business, 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 firms 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 internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Designs and evolves platform components and data pipelines leveraging technologies such as Apache Flink, ClickHouse, Trino, dbt, Kestra, Apache Iceberg, and PostgreSQL, with a strong focus on resiliency, observability, and secure-by-design implementation. Builds and integrates micro front-ends and user interfaces to deliver usable workflows and interfaces for internal stakeholders.

 

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
• Advanced in one or more programming language(s)
• 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
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

 

Preferred qualifications, capabilities, and skills

• Experience operating distributed data platforms in production (e.g., Apache Flink, Trino), including reliability, performance tuning, and operational support.
• Experience designing and building data pipelines and data models with strong data quality, lineage, and recoverability patterns; familiarity with orchestration solutions, dbt, and lakehouse table formats such as Apache Iceberg.
• Experience delivering solutions across hybrid environments (onpremises and public cloud), including secure connectivity patterns, observability, access controls, and cost/performance considerations.
• Strong backend engineering experience (e.g., Java for platform services and Python for automation/integration).
• Experience building modern user interfaces and micro-frontends with JavaScript or TypeScript and frameworks such as React or Angular.
• Strong ability to work independently to identify problems end to end and deliver solutions - applying design thinking and troubleshooting to drive issues to root cause and resolution.

 

#CTC

Carry out critical tech solutions across multiple technical areas as an integral part of an agile team