Lead Software Engineer, Observability Platform Cloud Developer

JPMorgan Chase

Confirmed live 2 days ago Trusted

Quick summary

Work type
On-site
Location
Columbus, OH
Posted
29 days ago
Freshness
Confirmed live 2 days ago

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Salary context

How this pay compares to similar roles

Similar $190k
$163k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $169,550–$211,200.

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 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer, Observability Platform Cloud Developer

Lead Software Engineer - Observability Platform Cloud Developer joins the Enterprise Observability Platforms team as a core technical contributor in an agile environment. This role involves designing, developing, and troubleshooting high-quality production code while identifying opportunities to automate the remediation of recurring issues to improve operational stability. The engineer leads evaluation sessions with vendors and internal teams regarding architectural designs and leads communities of practice to promote leading-edge technologies. Key responsibilities include driving team adoption of AI-assisted engineering practices for code review and testing. Required skills include proficiency in Java, JavaScript, React, or Python, along with experience in web development, databases, Unix/Linux, Kafka, Kubernetes, Microservices, and Terraform. The role focuses on the observability domain, utilizing tools like IBM Netcool, ServiceNow, Splunk, and Dynatrace to solve complex infrastructure monitoring problems.

What you'll do

  • Develop secure, high-quality production code while reviewing and debugging code written by other team members.
  • Design and implement creative software solutions to solve complex technical problems beyond conventional approaches.
  • Identify and automate the remediation of recurring issues to improve overall system operational stability.
  • Lead evaluation sessions with external vendors and internal teams to assess architectural designs and technical feasibility.
  • Lead communities of practice to promote the adoption of leading-edge technologies across Software Engineering.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices for code review, refactoring, and testing.
  • Establish validation standards for AI-generated outputs to ensure security, performance, and accuracy.
  • Apply SDLC toolchain knowledge and automation capabilities to improve delivery speed and operational outcomes.

What we're looking for

  • Formal training or certification in software engineering concepts and 5+ years of applied experience.
  • Hands-on experience in system design, application development, testing, and operational stability.
  • Advanced proficiency in at least one programming language such as Java, JavaScript, React, or Python.
  • Advanced experience with two or more technologies including web development, databases, Unix/Linux, distributed systems, Kafka, Kubernetes, or Terraform.
  • Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle.
  • Advanced understanding of agile methodologies, application resiliency, and security.
  • Practical cloud native experience with cloud application deployment and an AWS certification.
  • Demonstrated experience leading the use of approved AI-assisted software development tools while ensuring secure and compliant practices.

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