Senior Lead Software Engineer, Cloud Platform

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Jersey City, NJ
Posted
5 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $207k
$174k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $192,050–$222,125.

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 · Senior Lead Software Engineer, Cloud Platform

As a Senior Lead Software Engineer, Cloud Platform within the Corporate Sector AI and Machine Learning Data Platforms team, you will provide technical leadership to design and deliver secure, scalable cloud infrastructure and platform tools. You will be responsible for driving DevEx practices, evolving CI/CD pipelines, and implementing real-time telemetry for large-scale observability. Your work involves standardizing AI-assisted coding tools, developing AI agents using Google ADK and Anthropic SDKs, and creating Model Context Protocol integrations to automate platform workflows. The role requires expertise in Golang or Python, container orchestration with Docker and Kubernetes, and infrastructure provisioning via Terraform or Crossplane. You will manage cloud security, shift-left methodologies, and multi-cloud architectures while utilizing tools like Jenkins, Spinnaker, Splunk, and Grafana to support the firm's data and analytics strategy through advanced machine learning technologies.

What you'll do

  • Provide technical leadership and guidance to the cloud engineering team.
  • Design and develop secure, scalable, and reliable cloud infrastructure and platform tools.
  • Drive adoption of modern DevEx practices and evolve CI/CD pipelines to improve delivery speed and quality.
  • Align platform strategy and roadmaps with business priorities while leading cross-functional initiatives to modernize SDLC practices.
  • Define paved paths and self-service workflows to streamline developer experience and reduce cognitive load.
  • Implement real-time telemetry pipelines for large-scale platform observability and analytics.
  • Standardize the use of AI-assisted coding tools and AI-powered development ecosystems across the organization.
  • 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 in 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 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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