Lead Software Engineer, Observability & Platform Health Monitoring

JPMorgan Chase

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Quick summary

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

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Similar $183k
$110k $248k
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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 1219 open roles on FindRole.

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At a glance

TL;DR · Lead Software Engineer, Observability & Platform Health Monitoring

As a Lead Software Engineer - Observability & Platform Health Monitoring within the Corporate Technology, Identity & Access Management organization, you will join an agile team to build and deliver secure, scalable technology products. You will own the architecture and multi-quarter technical roadmap for a multi-service observability platform running on Kubernetes. Key responsibilities include designing the data layer for distributed SQL and large-scale Oracle datasets, defining observability models for metrics, logs, and traces, and leading the adoption of enterprise-authorized AI-assisted engineering practices. You will utilize tools such as OpenTelemetry, Prometheus, Splunk, Grafana, Helm, and Liquibase. This role requires expertise in the Software Development Life Cycle, CI/CD, and application resiliency to solve complex technical problems within the financial services industry and its information architecture.

What you'll do

  • Develop secure, high-quality production code and perform code reviews and debugging for other team members.
  • Own the architecture and multi-quarter technical roadmap for a multi-service observability platform running on Kubernetes.
  • Design end-to-end data layers including schema and query designs for distributed SQL and large-scale Oracle datasets.
  • Define the observability model for metrics, logs, and traces to establish standards for meaningful signals.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed.
  • Identify and automate the remediation of recurring issues to improve the operational stability of software applications.
  • Lead evaluation sessions with external vendors and internal teams to probe architectural designs and technical credentials.
  • Serve as the senior technical voice to leadership and audit to translate control requirements into engineering work.

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 and setting validation standards.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity and security.
  • Proficiency in all aspects of the Software Development Life Cycle.
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
  • In-depth knowledge of the financial services industry and their IT systems.
  • Practical cloud native experience.
  • Hands-on depth with observability tooling including OpenTelemetry, Prometheus, Splunk, and Grafana (preferred).
  • Production experience with Kubernetes, Helm, distributed SQL, and Liquibase in a regulated environment (preferred).
  • Working knowledge of Identity and Access Management concepts and building systems for audit or regulators (preferred).

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