Senior Lead Software Engineer, Cloud Platform

JPMorgan Chase

Quick summary

Work type
On-site
Location
Palo Alto, CAJersey City, NJ
Salary
$171,000–$260,000 / yr
Posted
3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $193k
This role $216k
$135k most similar roles pay here $273k

This role pays more than 67% of similar roles. Most pay $162,000–$223,750 — the shaded band above. At the midpoint, this role pays about $216k versus about $193k for comparable roles.

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.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · Senior Lead Software Engineer, Cloud Platform

Join JPMorgan Chase as a Senior Lead Software Engineer in the Corporate Sector AI and Machine Learning Data Platforms team, where you will lead the design and development of secure, scalable cloud infrastructure and platform tools. Your day-to-day responsibilities include driving modern DevEx practices, enhancing CI/CD processes, and collaborating with teams to improve developer productivity through real-time telemetry pipelines and standardized workflows. You’ll work with cutting-edge technologies such as Docker, Kubernetes, Terraform, Jenkins, and AI-assisted coding tools like Google ADK and Anthropic SDKs, while ensuring compliance with cloud security best practices. This role requires hands-on experience in multi-cloud architectures and a background in scalable AI/ML platform development, making it ideal for those passionate about shaping the future of data-driven decision-making at a global financial leader.

What you'll do

  • Lead the design and development of secure, scalable cloud infrastructure.
  • Drive adoption of modern DevEx practices to improve delivery speed and quality.
  • Evaluate and integrate strategic tooling to enhance developer experience.
  • Define self-service workflows to streamline developer tasks and productivity.
  • Implement real-time telemetry pipelines for large-scale platform observability.
  • Champion AI-assisted coding tools to accelerate development across the organization.
  • Contribute to the design of AI agents and MCP integrations using advanced frameworks.

What we're looking for

  • Hands-on experience with major cloud providers (AWS, Azure, or GCP).
  • Expertise in containerization and orchestration platforms like Docker and Kubernetes.
  • Proficiency in DevEx tools including Jenkins, Spinnaker, Bitbucket, GitHub.
  • Strong knowledge of cloud security best practices and DevSecOps processes.
  • Programming skills in Golang or Python with software development best practices.
  • Experience with cloud infrastructure provisioning tools such as Terraform and Crossplane.
  • Deep understanding of cloud architecture design, migration strategies, and AI/ML platforms.

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