Hiring Event; Jersey City; Nov 19; Sr. Lead Software Engineer
About The Position
The Sr. Lead Software Engineer will join an agile team within JPMorganChase’s Cybersecurity and Technology Controls line of business. The role contributes to the design, development, and delivery of trusted technology products that are secure, stable, and scalable, and provides critical technology solutions across technical areas in support of firm objectives. The engineer develops and maintains platform components and data pipelines, with attention to resiliency, observability, and secure-by-design implementation, and builds micro-frontends and user interfaces for internal stakeholders. The role also promotes effective, responsible use of enterprise-authorized AI-assisted engineering tools, setting validation expectations for code quality, security, and correctness. This position is part of a hiring-event candidate pipeline; the event is listed for Thursday, November 19, 2026. JPMorganChase describes a competitive total rewards package, with compensation and benefits depending on role, eligibility, and other factors. This is identified as a High Risk Role, requiring enhanced pre-hire screening, including criminal and credit background checks as allowed by law, completed before employment or assignment begins.
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.
- Demonstrated experience leading effective use of approved AI-assisted software development tools, with the ability to set expectations for validating 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 adherence to resiliency and security 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/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, using design thinking and troubleshooting to find root causes and resolve issues.
Responsibilities
- Execute creative software solutions, including design, development, and technical troubleshooting, addressing technical problems beyond routine approaches.
- Develop secure, high-quality production code and review and debug code written by others.
- Lead adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes; establish validation standards and promote reuse of effective patterns.
- Use Software Development Life Cycle tools, including authorized AI-assisted development and automation capabilities, to improve the value realized from automation.
- Identify opportunities to eliminate or automate remediation of recurring issues and improve application and system operational 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, emphasizing resiliency, observability, and secure-by-design implementation.
- Build and integrate micro-frontends and user interfaces that deliver usable workflows for internal stakeholders.
- Coach engineers on safe, compliant AI-assisted engineering practices and validation of AI outputs.
Benefits
- Comprehensive health care coverage
- On-site health and wellness centers
- Retirement savings plan
- Backup childcare
- Tuition reimbursement
- Mental health support
- Financial coaching
- Commission-based pay and/or discretionary incentive compensation for eligible roles, paid in cash and/or forfeitable equity
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
