About The Position

As a Lead Software Engineer in JPMorganChase’s Corporate Technology organization, you will contribute to an agile team building and enhancing secure, stable, scalable technology products. You will deliver technical solutions across multiple areas and business functions in support of the firm’s objectives, with a focus on data engineering and production-grade applications and pipelines. The role includes developing and supporting software and data solutions, advancing approved AI-assisted engineering practices, improving operational stability, and evaluating technical designs and solutions with internal and external teams. Corporate Technology supports applications and technology controls for functions including Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and the Corporate Administrative Office.

Requirements

  • Formal training or certification in software engineering concepts and at least 5 years of applied experience.
  • Strong experience in data engineering, Python, SQL, and the AWS technology stack.
  • Hands-on Python or Java development experience, including designing, building, and supporting production-grade applications and data pipelines.
  • Strong SQL skills and experience with data processing and data engineering workloads.
  • Hands-on experience with AWS cloud services and building cloud-native solutions.
  • Strong Databricks experience, including development and processing of large datasets.
  • Solid software engineering fundamentals and experience delivering and supporting production solutions.
  • Demonstrated 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.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations.
  • Experience coaching engineers on safe, compliant adoption of AI-assisted tools in delivery practices.

Nice To Haves

  • Proficiency in automation and continuous delivery methods, including CI/CD, testing, code quality, and release controls.
  • Advanced understanding of agile delivery, application resiliency, and secure engineering practices.

Responsibilities

  • Designs, develops, and troubleshoots software solutions, applying creative approaches to technical problems.
  • Develops secure, high-quality production code and reviews and debugs code written by others.
  • Leads team adoption of enterprise-authorized AI-assisted engineering practices, establishing validation standards for security, peer review, and automated testing and encouraging reuse of effective patterns.
  • Uses Software Development Life Cycle tools, including approved AI-assisted development and automation capabilities, to improve the value of automation.
  • Identifies opportunities to eliminate or automate recurring remediation tasks to improve application and system stability.
  • Leads evaluation sessions with vendors, startups, and internal teams to assess architectural designs, technical credentials, and suitability for existing systems and information architecture.
  • Designs, builds, and supports production-grade applications and data pipelines using Python or Java, SQL, AWS, and Databricks.
  • Coaches engineers on safe and compliant adoption of AI-assisted tools, including validation of outputs for correctness, performance, and security.

Benefits

  • Competitive total rewards package, including 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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