Lead Software Engineer, Cloud

JPMorgan Chase

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Plano, TX
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $179k
$121k $236k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $153,887–$204,612.

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 1219 open roles on FindRole.

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At a glance

TL;DR · Lead Software Engineer, Cloud

As a Lead Software Engineer - Cloud within the Corporate Sector – Infrastructure Platforms, you will join an agile team to build and deliver trusted, scalable technology products. You will be a core technical contributor responsible for designing and implementing platform services and infrastructure while ensuring system reliability and secure production code quality. Your daily work involves developing software, conducting design reviews, and leading the adoption of enterprise-authorized AI-assisted engineering practices for code review and testing. You will utilize tools including Java, Spring, Go, Python, Terraform, and Kubernetes across public cloud providers like Amazon Web Services, Microsoft Azure, or Google Cloud Platform. You must manage Identity and Access Management platforms and navigate complex integration patterns to solve technical problems within highly regulated environments.

What you'll do

  • Develop, review, and debug secure, high-quality production code while ensuring it meets firm standards.
  • Lead the design and implementation of platform services and infrastructure with a focus on reliability.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed.
  • Lead evaluation sessions with external vendors and internal teams to probe architectural designs and technical credentials.
  • Identify and automate the remediation of recurring issues to improve operational stability across systems.
  • Lead design reviews and architecture discussions to evaluate solutions and strengthen technical quality.
  • Mentor and coach engineers through technical guidance and the adoption of leading-edge technologies.
  • Apply knowledge of SDLC toolchains and automation capabilities to improve the value realized by automation.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability.
  • Demonstrated experience leading the use of approved AI-assisted software development tools for coding, review, and troubleshooting.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs/outputs.
  • Experience with Identity and Access Management platforms, role-based access control, or entitlement governance at scale.
  • Advanced proficiency in one or more programming languages or platforms such as Java, Spring, Go, Python, Terraform, or Kubernetes.
  • Practical cloud-native experience building and operating services on AWS, Microsoft Azure, or Google Cloud Platform.
  • Advanced understanding of agile methodologies, continuous integration, continuous delivery, application resiliency, and security.

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