Senior Lead Software Engineer, AI Platform

JPMorgan Chase

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: Seattle, WAPalo Alto, CASan Francisco, CA
Employment: Full-time
Posted: 46 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $168k

$104k $221k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $150,812–$185,300.

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 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · Senior Lead Software Engineer, AI Platform

Role Posting Log in to save

As a Senior Lead Software Engineer- AI Platform engineer within the Infrastructure Platforms team, you will join an agile team focused on delivering secure, scalable, and stable technology products. You will architect and deploy cloud platforms optimized for AI/ML workloads, translating compute needs into infrastructure requirements while managing cloud resources for performance and cost efficiency. Your daily responsibilities include developing production code, building CI/CD pipelines, and implementing infrastructure-as-code to streamline machine learning operations. You will utilize Python, Go, Java, or C# alongside Kubernetes, Docker, and various cloud delivery models. Key technical focus areas include microservices, transformer architecture, and ML Ops tools like MLflow. You will also drive the adoption of AI-assisted engineering practices, ensuring secure coding, data sensitivity, and operational stability across the software development life cycle.

Skills

Kubernetes Docker Python Go Java C# Infrastructure as Code CI/CD ML Ops Prometheus Grafana MLflow vLLM Ray.io Slurm SQL NoSQL Linux Microservices IaaS PaaS SaaS NVIDIA GPU Transformer Architecture

What you'll do

Develop secure, high-quality production code and perform code reviews and debugging for other engineers.
Architect and deploy secure, scalable cloud platforms optimized for AI/ML workloads.
Build CI/CD pipelines, automation, and infrastructure-as-code to streamline ML deployment and operations.
Monitor and optimize cloud resources for performance, cost efficiency, and operational stability.
Translate AI team compute needs into specific infrastructure requirements and technical specifications.
Drive the adoption and governance of approved AI-assisted engineering practices across development teams.
Influence product design, application functionality, and technical operations through informed architectural decisions.
Champion firmwide SDLC frameworks, tools, and best practices to improve delivery speed and code quality.

What we're looking for

Formal training or certification on software engineering concepts and 5+ years of applied experience.
Hands-on experience in system design, application development, testing, and operational stability.
Strong experience with Kubernetes and containerization (Docker), including cluster operations and production troubleshooting.
Proficiency in at least one programming language, such as Python, Go, Java, or C#.
Strong knowledge of cloud computing delivery models (IaaS, PaaS, SaaS) and deployment models (Public, Private, Hybrid Cloud).
Foundational understanding of machine learning concepts, including transformer architecture, ML training, and inference.
Experience with Infrastructure as Code and deep understanding of cloud component architecture.
Demonstrated experience leading the use of enterprise-authorized AI-assisted software development tools and responsible AI practices.

Save