Senior Lead Software Engineer, Cloud Platforms

JPMorgan Chase

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Jersey City, NJ
Posted: 151 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $191k

$163k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $169,550–$213,200.

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 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Senior Lead Software Engineer, Cloud Platforms

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As a Senior Lead Software Engineer, Cloud Platforms on the Corporate 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 modern 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, and creating Model Context Protocol integrations using Google ADK and Anthropic SDKs to automate platform workflows. The role requires expertise in Golang or Python, container orchestration like Kubernetes and Docker, and infrastructure provisioning via Terraform or Crossplane. You will solve complex problems regarding developer productivity and data strategy by building paved paths and self-service workflows while ensuring robust security through shift-left methodologies within a multi-cloud environment to support the firm's AI and machine learning initiatives.

Skills

AWS Azure GCP Kubernetes Docker Terraform Python Golang CI/CD DevSecOps Prometheus Grafana Splunk Datadog Crossplane Anthropic SDKs Google ADK LLM Machine Learning

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 DevEx improvements by evolving CI/CD pipelines and developer tooling for faster delivery.
Align platform strategy and roadmaps with business priorities while modernizing SDLC practices.
Implement real-time telemetry pipelines for large-scale platform observability and analytics.
Standardize AI-assisted coding tools and AI-powered ecosystems to accelerate engineering productivity.
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 including Docker and Kubernetes.
Expertise in DevEx (Developer Experience) and CI/CD tools like 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.
Knowledge of cloud security best practices, shift-left methodologies, and DevSecOps processes.
Proficiency with AI-assisted coding workflows, LLM-powered development tools, and prompt engineering for software engineering.

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