Senior Manager of Software Engineering, Java, Oracle, Springboot

JPMorgan Chase

Quick summary

Work type
On-site
Location
Bengaluru, Karnataka, India
Posted
3 days ago

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Salary context

How this pay compares to similar roles

Similar $193k
$139k most similar roles pay here $240k

This listing doesn't post a salary. Most similar roles pay $162,123–$223,750.

Based on 240 similar postings.

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 · Senior Manager of Software Engineering, Java, Oracle, Springboot

The Senior Manager of Software Engineering at JPMorganChase in the Commercial & Investment Bank leads and mentors multiple technical teams, driving operational efficiencies through advanced technical insights. This role involves providing strategic direction and oversight for a team of entry-level to mid-level engineers working on basic to moderately complex tasks, ensuring successful collaboration across various stakeholders and identifying potential issues to execute project goals effectively. The position requires expertise in Java, Spring Boot, React, Kubernetes, Oracle, and messaging platforms like RMQ and Kafka, with a focus on the FX or Derivatives Settlements domain. As an expert in responsible AI use and SDLC automation, you will set scalable operating practices for enterprise-authorized tools to enhance delivery speed and quality while prioritizing security and reuse of existing technology assets.

What you'll do

  • Provides technical coaching and oversight for multiple software engineering teams.
  • Influences budget and operational decisions to enhance team efficiency and functionality.
  • Sets and scales AI-assisted engineering practices across teams to improve delivery outcomes.
  • Ensures secure handling of sensitive data in AI development processes.
  • Applies SDLC toolchain knowledge to drive efficiency and support capacity initiatives.

What we're looking for

  • Advanced experience in Java-Spring Boot-React-Kubernetes
  • Proven leadership in guiding teams of technologists and multi-team adoption of AI-assisted development tools
  • Strong understanding of responsible AI use, including data sensitivity and security implications
  • Expertise in software applications and technical processes within a specific technology discipline (e.g., cloud, artificial intelligence)
  • Experience with messaging platforms like RMQ, Kafka, and Kubernetes
  • Demonstrated ability to set operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation

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