Sr Lead Software Engineer - Python, Spark, Backend Development,aws

JPMorgan Chase JPMorgan Chase · Banking · Bengaluru, Karnataka, India · Corporate Sector

Senior Lead Software Engineer with expertise in Python, Spark, and backend development on AWS, focusing on delivering secure, stable, and scalable technology products within the financial services industry. The role involves system design, application development, testing, and operational stability, with a potential focus on trading systems, payment solutions, or cloud platform integration.

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
  • cloud
  • artificial intelligence
  • machine learning
  • mobile
  • agile development methodologies
  • CI/CD
  • Applicant Resiliency
  • Security

Nice to have

  • AI
  • ML
  • Claude
  • MCP

What the JD emphasized

  • 7+ 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.)