Lead Software Engineer

JPMorgan Chase

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Quick summary

Work type: On-site
Location: Plano, TX
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $199k

$144k $238k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $178,175–$219,425.

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 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer

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As a Lead Software Engineer within the Consumer & Community Banking Operations Technology 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 identify patterns, driving the adoption of AI-assisted engineering practices, and resolving production issues using advanced observability tools. You will utilize a technical stack including Java, Python, AWS, Pivotal Cloud, and SQL for Oracle, DB2, and Aurora Postgres databases. Key tools include Jenkins, Spinnaker, Terraform, Splunk, Dynatrace, and Datadog. You will solve technical problems by building scalable, stable software solutions while ensuring design constraints are met across various business functions.

Skills

Java Python AWS Pivotal Cloud SQL Terraform CI/CD Jenkins Spinnaker Oracle DB2 Splunk Dynatrace Datadog PySpark AWS ECS S3 SQS SNS Lambda Glue CloudWatch IntelliJ Bitbucket Agile SRE Observability

What you'll do

Execute software solutions, design, and technical troubleshooting for complex business problems.
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 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 including 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.
Familiarity with modern front-end technologies, Data Pipeline design, and Cloud migration projects (preferred).

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