Senior Lead Software Engineer, AWS Data Engineer, AI/ML

JPMorgan Chase

Quick summary

Work type
On-site
Location
Houston, TX
Posted
28 days ago
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $197k
$164k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $170,995–$223,750.

Based on 240 similar postings.

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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 479 open roles on FindRole.

Listed pay typically runs $142,500–$205,000 across 245 roles with salary data.

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At a glance

TL;DR · Senior Lead Software Engineer, AWS Data Engineer, AI/ML

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As a Senior Lead Software Engineer at JPMorganChase in the Commercial and Investment Banking division, you will join an agile team dedicated to developing and delivering secure, stable, and scalable technology solutions. Your responsibilities include leveraging extensive experience with AWS public cloud applications and Python programming to build robust data processing pipelines using DAGs like Airflow. You will also drive the adoption of AI engineering tools such as GitHub Copilot for JIRA and documentation, ensuring measurable gains in productivity and quality. Additionally, you will lead a small team as a tech lead or manager, utilizing your proficiency with AWS services including SageMaker, Glue, Redshift Serverless, and Kubernetes, while familiarizing yourself with JPMC’s proprietary platforms like Jules/JET and GKP (Gaia Kubernetes).

Skills

AWS Python Terraform Kubernetes Docker Airflow SageMaker GitHub Copilot MLflow Datadog MCP Jules GKP Fusion MLOps Redshift Serverless DynamoDB EventBridge Step Functions Lambda ECS EKS Kinesis CloudWatch

What you'll do

  • Lead the development and operation of AWS-based applications for secure, scalable solutions.
  • Design and implement data processing pipelines using DAGs like Apache Airflow.
  • Drive adoption of AI engineering tools to enhance productivity and quality in software releases.
  • Manage a small team as tech lead, ensuring adherence to best practices in cloud and AI/ML.
  • Proficiently use AWS services including SageMaker, Glue, Redshift Serverless, and more for project delivery.
  • Utilize Python, Terraform, Kubernetes, Docker, and other tools for efficient software development.

What we're looking for

  • 10+ years of software engineering experience with a focus on cloud-based applications.
  • Extensive hands-on experience with AWS services including SageMaker, Glue, and Lambda.
  • Strong Python programming skills and proficiency in data processing pipelines using DAGs.
  • Demonstrated expertise in MLOps practices and AI/ML tooling.
  • Proven ability to lead and mentor a small technical team effectively.
  • Experience driving adoption of AI engineering tools with measurable productivity gains.

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