Lead Software Engineer

JPMorgan Chase & Co.•Jersey City, NJ
•$156,750 - $215,000

About The Position

As a Lead Software Engineer in JPMorganChase’s Cybersecurity and Technology Controls line of business, you will contribute to an agile team that builds and enhances secure, stable, scalable technology products. You will deliver critical technology solutions across technical areas in support of business objectives, including designing and evolving platform components and data pipelines and building micro-frontends and interfaces for internal stakeholders. The role emphasizes resiliency, observability, secure-by-design implementation, and responsible use of enterprise-authorized AI-assisted engineering practices. The Cybersecurity & Technology Controls group partners with business lines and functions to integrate appropriate controls, deliver processes and solutions efficiently, and automate controls. The group’s priority is to enable the business while keeping the firm safe, stable, and resilient. This is a High Risk Role subject to enhanced pre-hire screening, including criminal and credit background checks as allowed by law; screening must be completed successfully 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.
  • Experience leading effective use of approved AI-assisted software development tools, including setting expectations for validating outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and security and resiliency expectations.
  • Experience coaching engineers on safe, compliant adoption of AI-assisted tools in delivery practices.
  • Proficiency across 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 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 resolutions.

Responsibilities

  • Execute software design, development, and technical troubleshooting, using creative approaches to build solutions and break down technical problems.
  • Develop secure, high-quality production code and review and debug code written by others.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
  • Establish 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 and authorized AI-assisted development and automation capabilities to improve the value of automation.
  • Identify opportunities to eliminate or automate remediation of recurring issues and improve 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, focusing on resiliency, observability, and secure-by-design implementation.
  • Build and integrate micro-frontends and user interfaces for internal stakeholders.

Benefits

  • Competitive total rewards package, with base salary determined by role, experience, skill set, and location.
  • Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
  • Comprehensive health care coverage.
  • On-site health and wellness centers.
  • Retirement savings plan.
  • Backup childcare.
  • Tuition reimbursement.
  • Mental health support.
  • Financial coaching.
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