Senior Manager of Software Engineering, Python Engineering

JPMorgan Chase

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Quick summary

Work type
On-site
Location
Columbus, OH
Employment
Full-time
Posted
13 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $185k
$107k $248k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $156,587–$213,200.

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 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Senior Manager of Software Engineering, Python Engineering

The Senior Manager of Software Engineering – Python Engineering joins the platform engineering organization to provide technical coaching and advisory for engineering teams. This role involves managing a team of software engineers who build reusable frameworks, SDKs, and AI-native tools adopted across the enterprise. Key responsibilities include hiring, performance management, and driving the adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed. The manager must set operating practices for SDLC and TLM automation while ensuring security and resiliency. Technical requirements include advanced skills in Python, with preferred proficiency in Java and JavaScript. The role requires hands-on experience in system design, application development, and cloud-native environments to solve complex problems regarding responsible AI use and operational stability within the software development life cycle.

What does a Software Engineering Manager earn?

Median $214394 from 123 postings across 39 companies.

See salary data

What you'll do

  • Manage a team of software engineers including hiring, performance management, and career development.
  • Lead the development of reusable frameworks, SDKs, and AI-native tools for enterprise-wide adoption.
  • Drive the adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed.
  • Set and scale operating practices for SDLC automation and AI-assisted engineering across multiple teams.
  • Contribute hands-on as a technical lead by writing and reviewing production code in Java, JavaScript, or Python.
  • Partner with stakeholders to define and prioritize the component roadmap based on adoption needs.
  • Identify opportunities to improve operational stability and automate the remediation of recurring issues.
  • Establish measurable expectations for throughput, defect reduction, and reliability across engineering projects.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Experience leading and managing engineering teams, including hiring, performance management, and career development.
  • Hands-on experience delivering system design, application development, testing, and operational stability.
  • Advanced skills in Python.
  • Proficiency in all aspects of the Software Development Life Cycle and agile methodologies.
  • Practical cloud-native experience.
  • Demonstrated experience with AI-assisted software development tools and coaching engineers on validating AI outputs.
  • Experience leading multi-team adoption of enterprise-authorized AI-assisted development tools and defining governance.
  • Advanced skills in Java and JavaScript (preferred).
  • Experience building SDKs, frameworks, or developer platforms that other engineering teams consume (preferred).
  • Experience working with stakeholders to define and prioritize a platform component roadmap (preferred).
  • Track record of growing engineers’ careers and AI-assisted development skills (preferred).

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