Principal Software Engineer, Cloud Platform (DevEx & AI Platform Automation)

JPMorgan Chase

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Palo Alto, CA
Posted
43 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $198k
$129k most similar roles pay here $274k

This listing doesn't post a salary. Most similar roles pay $169,550–$225,937.

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 1134 open roles on FindRole.

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At a glance

TL;DR · Principal Software Engineer, Cloud Platform (DevEx & AI Platform Automation)

As a Principal Software Engineer, Cloud Platform (DevEx & AI Platform Automation) within the Data Platforms division, you will provide technical leadership to design, build, and operate secure, scalable cloud infrastructure. You will focus on improving developer experience by evolving CI/CD pipelines, creating paved paths for self-service workflows, and implementing real-time telemetry for platform observability. Your role involves advancing AI-assisted development practices and building Agentic/AIOps solutions using tools like Google ADK and Anthropic SDKs to automate platform operations. You will utilize Golang or Python, manage containerization via Docker and Kubernetes, and provision infrastructure using Terraform, KRO, or Crossplane. The work centers on solving complex problems in cloud architecture, DevSecOps, and the development of AI/ML data platforms while integrating LLM-powered tools to reduce cognitive load and accelerate engineering velocity across the organization.

What does a Software Engineer earn in California?

Median $214000 from 802 postings across 64 companies.

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What you'll do

  • Lead the technical direction and design of secure, scalable cloud infrastructure and platform tools.
  • Drive the adoption of modern DevEx practices to improve delivery speed and developer experience.
  • Evolve CI/CD pipelines and internal tooling to ensure consistent software delivery quality.
  • Define paved paths and self-service workflows to streamline complex developer processes.
  • Implement real-time telemetry pipelines for large-scale platform observability and analytics.
  • Standardize AI-assisted coding tools and LLM-powered ecosystems to accelerate engineering productivity.
  • Develop AI agents and Model Context Protocol integrations to enable intelligent platform automation.

What we're looking for

  • Formal training or certification in software engineering concepts and 10+ years of applied experience.
  • Hands-on experience with at least one major cloud provider such as AWS, Azure, or GCP.
  • Advanced knowledge of containerization and orchestration platforms like Docker and Kubernetes.
  • Expertise in DevEx and CI/CD tools including Jenkins, Spinnaker, Bitbucket, and GitHub.
  • Strong programming skills in Golang or Python with a solid understanding of software development best practices.
  • Proficiency with cloud infrastructure provisioning tools such as Terraform, KRO, or Crossplane.
  • Experience with logging and monitoring tools like Splunk, Grafana, Datadog, or Prometheus.
  • Proficiency with AI-assisted coding workflows, LLM-powered tools, and prompt engineering for software engineering.
  • Master's degree in a related field and certifications in Cloud, Kubernetes, or infrastructure-as-code (preferred).
  • Experience implementing multi-cloud architectures and leading end-to-end platform development efforts (preferred).
  • Background in designing and developing scalable AI/ML or Data platforms (preferred).
  • Hands-on experience building AI agents and MCP servers using frameworks like Google ADK or Anthropic SDKs (preferred).

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