Senior Lead Software Engineer- Big Data / Aws / Java / Python

JPMorgan Chase JPMorgan Chase · Banking · Jersey City, NJ +1 · Corporate Sector

Senior Lead Software Engineer with Big Data, AWS, Java, and Python experience, focusing on enhancing, building, and delivering technology products within an agile environment. Responsibilities include technical guidance, code development and review, influencing product design, and acting as a subject matter expert. Requires formal training/certification and 5+ years of experience in system design, application development, testing, and operational stability, with strong Big-Data, database, and AWS cloud skills.

What you'd actually do

  1. Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
  2. Develops secure and high-quality production code, and reviews and debugs code written by others
  3. Drives decisions that influence the product design, application functionality, and technical operations and processes
  4. Serves as a function-wide subject matter expert in one or more areas of focus
  5. Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

Skills

Required

  • software engineering concepts
  • system design
  • application development
  • testing
  • operational stability
  • Java
  • Python
  • Spark
  • Databricks
  • Data Lake
  • AWS
  • ECS
  • EKS
  • EMR
  • Lambda
  • agile development methodologies
  • CI/CD
  • Applicant Resiliency
  • Security

Nice to have

  • AI
  • ML
  • Claude
  • React
  • Java Script Development

What the JD emphasized

  • 5+ years applied experience
  • Advanced in one or more programming language including Java and/or Python
  • Strong Big-Data and database skills including Spark, Databricks, and/or Data Lake
  • Experience with AWS cloud computing using ECS, EKS, EMR, Lambda, etc.
  • Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)