Python Terraform AWS DevOps MLOps Lead Software Engineer

JPMorgan Chase

Quick summary

Work type
On-site
Location
Columbus, OH
Posted
9 days ago

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Salary context

How this pay compares to similar roles

Similar $172k
$124k most similar roles pay here $221k

This listing doesn't post a salary. Most similar roles pay $133,406–$211,200.

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 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 · Python Terraform AWS DevOps MLOps Lead Software Engineer

As a Lead Software Engineer at JPMorganChase in the Consumer & Community Banking Digital Cloud team, you will lead an agile squad tasked with developing and maintaining scalable machine learning platforms and infrastructure. Your daily tasks include designing automated ML pipelines, setting up monitoring systems using Prometheus and Grafana, and coding Terraform modules for cloud infrastructure. You will also manage CI/CD pipelines with Jenkins or GitLab CI and deploy models using Kubernetes and Docker. The role requires expertise in Python, Bash, YAML, Helm, and Terraform, along with deep knowledge of AWS, Azure, or GCP, and proficiency in MLOps tools like MLflow and Kubeflow. This position involves working on highly regulated systems, ensuring secure and scalable technology solutions for business-critical applications.

What you'll do

  • Design and develop a scalable ML platform for training, deployment, and monitoring.
  • Build automated ML pipelines with Terraform and Python for reliability and reproducibility.
  • Set up monitoring and reliability systems for infrastructure and models using Prometheus and Grafana.
  • Code cloud infrastructure with Terraform and automate processes using Python scripts.
  • Perform DevOps tasks in Kubernetes, Docker, Helm, GitOps, and CI/CD pipelines.
  • Deploy ML models using strategies like Canary, Blue/Green, or Shadow deployments.

What we're looking for

  • 8+ years of hands-on software engineering experience with a focus on cloud-native delivery.
  • Expertise in Terraform for Infrastructure as Code including modules, state backends, and CI integration.
  • Proficiency in Python for platform automation and scripting, along with Bash/YAML/Helm knowledge.
  • Deep experience with CI/CD pipelines (Jenkins, GitLab CI) and automated testing strategies.
  • Strong AWS cloud expertise covering VPC, ALB/NLB, EKS, IAM, KMS, CloudWatch/CloudTrail.
  • Experience with MLOps tools like MLflow, Amazon SageMaker, Kubeflow for model deployment and management.

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