Lead Software Engineer

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

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

Market check

Salary context

How this pay compares to similar roles

Similar $190k
$143k $234k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $169,050–$211,200.

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 1238 open roles on FindRole.

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At a glance

TL;DR · Lead Software Engineer

As a Lead Software Engineer within the Consumer & Community Banking JPMWM Tech team, you will serve as a core technical contributor in an agile environment. You are responsible for designing, developing, and troubleshooting secure, high-quality production code and architecture artifacts for complex applications. Your daily work involves analyzing large datasets to create visualizations, identifying hidden patterns to improve system architecture, and driving the adoption of AI-assisted engineering practices. You will utilize a technical stack including Python, Java, AWS (ECS, S3, SQS, SNS, Lambda, Glue, pySpark), and Oracle, DB2, and Aurora Postgres databases. You must also leverage SRE and observability tools like Splunk, Dynatrace, and Datadog, while managing CI/CD pipelines using Jenkins, Spinnaker, Bitbucket, and Terraform to ensure operational stability and application resiliency.

What you'll do

  • Execute software solutions, design, development, and technical troubleshooting for complex business functions.
  • Create secure, high-quality production code and maintain synchronous algorithms.
  • Produce architecture and design artifacts while ensuring software code meets all design constraints.
  • Analyze large data sets to develop visualizations and reporting for continuous system improvement.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed.
  • Apply SDLC toolchain knowledge and automation capabilities to improve overall development value.
  • Detect, troubleshoot, and resolve production issues using advanced observability tools in multi-environment settings.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Hands-on practical experience in system design, application development, testing, and operational stability.
  • Proficiency in coding in one or more languages, specifically Java or Python.
  • Proficiency in private and public Cloud platforms, with in-depth knowledge of AWS ECS, S3, SQS, SNS, Lambda, Glue, pySpark, and CloudWatch.
  • Experience with SRE and Observability tools such as Splunk, Dynatrace, and Datadog.
  • Proficiency in Oracle, DB2, and AWS Aurora Postgres databases with mandatory hands-on SQL experience.
  • Hands-on experience with software development tools, CI/CD tools (Jenkins, Spinnaker, IntelliJ, Bitbucket), and Terraform for IaC.
  • Experience in Data Pipeline design, Cloud migration projects, and modern front-end technologies (preferred).

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