Lead Software Engineer, AI Platform Engineer

JPMorgan Chase

Quick summary

Work type: On-site
Location: San Francisco, CASeattle, WAPalo Alto, CA
Salary: $152,000–$215,000 / yr
Posted: 9 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $196k

This role $184k

$143k most similar roles pay here $236k

This role pays less than 63% of similar roles. Most pay $165,825–$226,600 — the shaded band above. At the midpoint, this role pays about $184k versus about $196k 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 · Lead Software Engineer, AI Platform Engineer

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As a Lead Software Engineer at JP Morgan Chase within the Corporate Sector’s Infrastructure Platforms team, you will lead an agile group tasked with enhancing and delivering secure, stable, and scalable technology products. Your daily responsibilities include designing innovative solutions to complex technical challenges, writing high-quality production code, conducting thorough code reviews, and automating remediation processes to ensure operational stability. You will collaborate closely with AI teams to develop effective infrastructure for computational requirements, manage cloud resources efficiently, and design CI/CD pipelines for machine learning workloads. Key skills required include advanced proficiency in languages like Go or Java, experience with Kubernetes and Docker, and familiarity with Terraform or Ansible for infrastructure as code practices. Additionally, knowledge of NVIDIA GPU infrastructure software, observability tools such as Prometheus and Grafana, and public cloud platforms like AWS or GCP is beneficial.

Skills

Kubernetes Terraform Go Java Docker CI/CD Prometheus Grafana AWS GCP NVIDIA DCGM NVIDIA BCM NVIDIA Dynamo Inference

What you'll do

Design and build secure, high-quality production code to solve complex technical challenges.
Automate remediation of recurring issues to improve operational stability of software systems.
Translate computational requirements into effective infrastructure solutions for AI teams.
Monitor and optimize cloud resources to ensure performance and cost efficiency.
Implement CI/CD pipelines for machine learning workloads to streamline deployment.

What we're looking for

At least 5 years of experience in software engineering with a focus on system design and application development.
Proficiency in programming languages such as Go or Java for developing high-quality production code.
Experience with Kubernetes and containerization technologies like Docker to manage cloud resources efficiently.
Expertise in infrastructure as code tools, including Terraform or Ansible, for automation and deployment processes.
Strong understanding of cloud architecture concepts, including microservices, IaaS, storage, security, and networking.

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