Lead Software Engineer, Python AWS

JPMorgan Chase

Quick summary

Work type
On-site
Location
Plano, TX
Posted
16 days ago

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Salary context

How this pay compares to similar roles

Similar $196k
$174k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $180,262–$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 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer, Python AWS

As a Lead Software Engineer Python AWS at JPMorgan Chase within Corporate Technology, you will join an agile team dedicated to developing secure, stable, and scalable technology solutions. Your responsibilities include designing and implementing software solutions through the entire SDLC, from requirements analysis to deployment, while adhering to architectural standards and engaging in code reviews. You will build microservices using Python, Docker, Jenkins, and other tools, and work on large-scale corporate projects with a focus on MLOps and Agentic AI architecture. Key skills include experience with AWS services like EMR and EC2, Apache Spark, TensorFlow, and observability tools such as Splunk or Grafana. You will also mentor junior engineers and present prototypes to senior leadership, ensuring alignment with security best practices and agile methodologies.

What you'll do

  • Design and implement software solutions following architectural standards.
  • Engage in full SDLC from requirements analysis through deployment.
  • Troubleshoot application code-related issues and ensure solution alignment.
  • Perform development and DevOps tasks in a distributed environment.
  • Assist with design reviews by recommending technical improvements.
  • Utilize AI agents to build prototypes for demonstration purposes.
  • Define standards and best practices for the ML Platform.

What we're looking for

  • Extensive experience in designing and developing microservices using Python, Docker, Jenkins, Kubernetes, AWS services (EMR, EC2, RDBMS), Apache Spark, Pyspark, TensorFlow.
  • Solid understanding of Agile SDLC, CI/CD pipelines, and security best practices.
  • Proven track record in large-scale corporate environments with experience in MLOps and model serving applications.
  • Expertise in AWS solutions architecture and observability tools like Splunk, Dynatrace, Grafana.
  • Strong mentoring skills for junior engineers and ability to utilize AI agents for business challenges.
  • Certified AWS Solutions Architect or equivalent cloud certification required.

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