Senior Lead Software Engineer

JPMorgan Chase

Quick summary

Work type
On-site
Location
Plano, TX
Posted
today

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How this pay compares to similar roles

Similar $195k
$153k most similar roles pay here $243k

This listing doesn't post a salary. Most similar roles pay $167,587–$222,000.

Based on 240 similar postings.

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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 439 open roles on FindRole.

Listed pay typically runs $148,625–$212,500 across 228 roles with salary data.

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At a glance

TL;DR · Senior Lead Software Engineer

As a Senior Lead Software Engineer at JPMorganChase in the AI/ML Data Platform, you will join an agile team focused on developing and delivering cutting-edge technology solutions. Your primary responsibilities include streamlining processes for rapid feature releases within Snowflake to enhance product performance and user experience. You will leverage your expertise in Python and cloud-native technologies such as AWS to build scalable and secure systems. Advanced knowledge of AWS services, along with relevant certifications, is essential, while familiarity with Snowflake is highly desirable. This role involves tackling complex business challenges at a large scale, ensuring that the platform remains robust and efficient for global financial operations.

What you'll do

  • Define efficient processes for rapid feature releases on Snowflake.
  • Eliminate bottlenecks in the software release process.
  • Possess advanced skills in Python and practical cloud-native experience with AWS.
  • Obtain and maintain relevant AWS certifications.
  • Demonstrate a deep understanding of Snowflake (preferred).

What we're looking for

  • Minimum of 8 years of hands-on software engineering experience.
  • Expertise in Python and practical cloud-native development on AWS.
  • Possession of relevant AWS certifications.
  • Proven ability to define efficient release processes for new features.
  • Strong understanding of Snowflake (preferred but not required).

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