Senior Lead Software Engineer Cloud Platforms

JPMorgan Chase

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Jersey City, NJPalo Alto, CA
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $177k
$95k $250k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $151,000–$202,561.

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 1254 open roles on FindRole.

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At a glance

TL;DR · Senior Lead Software Engineer Cloud Platforms

The Senior Lead Software Engineer Cloud Platforms joins the Corporate Sector AI and Machine Learning Data Platforms team to design and deliver secure, scalable cloud infrastructure and platform tools. This role involves providing technical leadership to the cloud engineering team, driving modern DevEx practices, and evolving CI/CD pipelines to improve delivery speed and consistency. Key responsibilities include implementing real-time telemetry pipelines, defining self-service workflows, and standardizing AI-assisted coding tools. The candidate will utilize Golang or Python, along with AWS, Azure, or GCP, Docker, Kubernetes, and Terraform. Technical expertise must include Jenkins, Spinnaker, Bitbucket, GitHub, Splunk, Grafana, and Datadog. The work focuses on building AI agents and Model Context Protocol integrations using Google ADK and Anthropic SDKs to enable intelligent platform automation.

What you'll do

  • Provide technical leadership and guidance to the cloud engineering team.
  • Lead the design and development of secure, scalable, and reliable cloud infrastructure and platform tools.
  • Drive adoption of modern DevEx practices and evolve CI/CD and developer tooling to improve delivery speed.
  • Align platform strategy and roadmaps with business priorities and lead 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.
  • Contribute to the design and development of AI agents and Model Context Protocol integrations for platform automation.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ 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, Kubernetes, or ECS.
  • 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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