Lead Software Engineer, Reliability & Support

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Plano, TX
Posted
7 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $202k
$174k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $192,050–$211,200.

Based on 238 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 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, Reliability & Support

As a Lead Software Engineer - Reliability & Support within the Test Integration and Implementation Payments Technology Team, you will join an agile team to design, develop, and deliver stable, scalable technology products for the Corporate & Investment Bank. You are responsible for leading critical technical solutions, improving application reliability through data-driven analytics, and creating architecture artifacts for complex systems. Your daily work involves identifying system bottlenecks, developing visualizations from large datasets, and implementing Agentic AI frameworks to automate environment management functions like incident detection and self-healing infrastructure. You will utilize Java, Python, Kubernetes, and Amazon Web Services while managing monitoring tools such as Geneos, Dynatrace, Datadog, and Splunk. The role focuses on solving reliability challenges in large-scale integration environments by integrating AI-assisted workflows into the software development life cycle to improve operational readiness and reduce mean time to recovery.

What you'll do

  • Design and develop complex software solutions while ensuring all architectural constraints are met by the code.
  • Lead initiatives to improve application reliability and stability using data-driven analytics to resolve bottlenecks.
  • Analyze large, diverse datasets to create visualizations and reports for continuous system improvement.
  • Implement Agentic AI frameworks to automate environment management functions like incident detection and root cause analysis.
  • Integrate AI-assisted workflows into the SDLC to accelerate testing, validation, and operational readiness.
  • Develop and maintain Splunk dashboards, alerts, and reporting tools for monitoring system performance.
  • Mentor engineers and lead technical initiatives across multiple teams to improve coding hygiene and architecture.

What we're looking for

  • Formal training or certification in software engineering concepts with proficient applied experience.
  • Hands-on experience in system design, application development, testing, and operational stability.
  • Proficiency in coding using one or more languages, specifically Java and/or Python.
  • Experience developing and maintaining code in a large corporate environment using modern programming languages and database querying languages.
  • Knowledge of infrastructure in large-scale environments including Kubernetes and Amazon Web Services.
  • Experience with monitoring tools such as Geneos, Dynatrace, and Datadog.
  • Ability to develop and maintain Splunk dashboards, reports, and alerts.
  • Proficiency in agile methodologies, CI/CD, application resiliency, and security.

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