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

JPMorgan Chase

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Palo Alto, CAJersey City, NJSeattle, WAPlano, TX
Employment
Full-time
Posted
85 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $196k
$130k $253k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $169,550–$222,125.

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

Role Posting Log in to save

As a Principal Software Engineer, Cloud Platform (DevEx & AI Platform Automation) within the Data Platforms division of the Chief Data and Analytics Office, you will lead the technical direction for cloud platform engineering. You will design, build, and operate secure, scalable cloud infrastructure and platform tools to support AI/ML and data-driven initiatives. Your daily work involves driving DevEx practices, evolving CI/CD pipelines, and implementing real-time telemetry for platform observability. You will utilize Golang, Python, Docker, Kubernetes, Terraform, and Crossplane while integrating tools like Jenkins, Spinnaker, and Splunk. Notably, you will advance Agentic/AIOps by developing AI agents and Model Context Protocol integrations using Google ADK and Anthropic SDKs to accelerate engineering velocity and automate platform innovation across the organization.

What does a Software Engineer earn in California?

Median $214500 from 1193 postings across 76 companies.

See salary data

Skills

Python Golang Kubernetes Docker Terraform AWS Azure GCP CI/CD DevSecOps Prometheus Grafana Splunk Datadog Crossplane Jenkins Spinnaker Bitbucket GitHub LLM Agentic/AI

What you'll do

  • Lead the design and development of secure, scalable, and reliable cloud infrastructure and platform tools.
  • Drive adoption of modern DevEx practices to improve delivery speed, quality, and consistency across the engineering organization.
  • Align platform strategy and roadmaps with business priorities while leading cross-functional initiatives to modernize SDLC practices.
  • Define and promote paved paths and self-service workflows to streamline developer workflows.
  • Implement real-time telemetry pipelines and workflows for large-scale platform observability and analytics.
  • Standardize the use of AI-assisted coding tools and AI-powered development ecosystems to accelerate engineering productivity.
  • Design and develop AI agents and Model Context Protocol integrations using frameworks like Google ADK and Anthropic SDKs.

What we're looking for

  • Formal training or certification on 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.
  • Demonstrated expertise in DevEx and CI/CD tools including Jenkins, Spinnaker, Bitbucket, or 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.
  • Demonstrated proficiency with AI-assisted coding workflows, LLM-powered development tools, and prompt engineering.
  • Master's degree in a related field and certifications in Cloud, Kubernetes, or infrastructure-as-code (preferred).

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