Lead Software Engineer

JPMorganChase•Jersey City, NJ

11d

About The Position

As a Lead Software Engineer at JPMorganChase within the Cybersecurity and Technology Controls line of business, you will contribute to an agile team building and enhancing secure, stable, scalable technology products. You will deliver critical technology solutions across technical areas and business functions in support of the firm’s objectives. The role includes designing and evolving platform components and data pipelines, building micro-frontends and user interfaces for internal stakeholders, and promoting resilient, observable, secure-by-design implementations. You will also guide the team’s use of enterprise-authorized AI-assisted engineering tools, establishing validation practices for code quality, security, testing, and responsible use.

Requirements

Formal training or certification in software engineering concepts and at least 5 years of applied experience.
Hands-on experience delivering system design, application development, testing, and operational stability.
Advanced proficiency in one or more programming languages.
Experience leading effective use of approved AI-assisted software development tools for coding, code review, test acceleration, or troubleshooting.
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, secure handling of inputs and outputs, and security and resiliency expectations.
Proficiency in all aspects of the Software Development Life Cycle.
Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security.

Nice To Haves

Experience operating distributed data platforms in production, such as Apache Flink or Trino, including reliability, performance tuning, and operational support.
Experience designing and building data pipelines and data models with data quality, lineage, and recoverability patterns.
Familiarity with orchestration solutions, dbt, and lakehouse table formats such as Apache Iceberg.
Experience delivering solutions across on-premises and public cloud environments, including secure connectivity, observability, access controls, and cost and performance considerations.
Strong backend engineering experience, such as Java for platform services and Python for automation or integration.
Experience building modern user interfaces and micro-frontends with JavaScript or TypeScript and frameworks such as React or Angular.
Ability to work independently to identify problems end to end and deliver solutions, applying design thinking and troubleshooting to find root causes and resolve issues.

Responsibilities

Execute software design, development, and technical troubleshooting, using creative approaches to solve complex technical problems.
Develop secure, high-quality production code and review and debug code written by others.
Lead team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
Establish consistent validation standards for AI-assisted work, including secure coding, peer review, and automated testing, and promote reuse of effective patterns.
Use Software Development Life Cycle tools, including authorized AI-assisted development and automation capabilities, to improve automation outcomes.
Identify opportunities to eliminate or automate recurring remediation work to improve application and system stability.
Lead evaluation sessions with internal teams to assess architectural designs, technical credentials, and applicability to existing systems and information architecture.
Design and evolve platform components and data pipelines using technologies such as Apache Flink, ClickHouse, Trino, dbt, Kestra, Apache Iceberg, and PostgreSQL.
Build and integrate micro-frontends and user interfaces for internal stakeholders.
Coach engineers on safe, compliant AI-assisted development practices and validation of AI outputs.