Software Engineer II, Backend Python, AIML

JPMorgan Chase

Quick summary

Work type
On-site
Location
Mumbai, Maharashtra, India
Posted
1 day ago

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

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At a glance

TL;DR · Software Engineer II, Backend Python, AIML

As a Software Engineer II on the Commercial & Investment Bank team at JPMorgan Chase, you will join an agile development group focused on enhancing and delivering cutting-edge technology solutions. Your daily tasks will include coding in Python, working with core database concepts such as relational and document databases, and leveraging cloud technologies alongside AI/ML tools like generative AI and agentic AI. You’ll contribute to the full software development lifecycle, ensuring that your work is secure, stable, and scalable. This role requires a strong understanding of algorithms and emerging knowledge in technical disciplines including cloud computing and machine learning, making it ideal for someone looking to build robust backend systems within a dynamic financial services environment.

What you'll do

  • Design and implement backend systems using Python.
  • Develop scalable software components for state-of-the-art technology products.
  • Apply core database concepts in relational and document databases.
  • Utilize cloud technologies to enhance system stability and security.
  • Implement AI/ML solutions, including generative AI and large language models.

What we're looking for

  • Demonstrable coding ability in Python and other languages.
  • Extensive hands-on experience with cloud technologies and AI/ML.
  • Proficiency in core database concepts including relational and document databases.
  • Strong expertise in algorithms and software development lifecycle.
  • Emerging knowledge of technical processes within a specific discipline like cloud or AI.