Senior Lead AI Platform Engineer - Cloud & ML Infra

JP Morgan Chase; Seattle (WA); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorgan Chase is seeking a Senior Lead Software Engineer in Seattle to join the Corporate Sector, Infrastructure Platforms. You’ll operate in an agile team to build and deliver trusted technology products securely and scalably, driving business impact through deep technical expertise across AI/ML workloads and cloud platforms.

You will guide design decisions, champion SDLC best practices, and lead adoption of AI-assisted development tools while ensuring governance and secure engineering

Qualifications

• 5+ years of applied software engineering experience.
• System design, application development, testing, and operational stability.
• Strong experience with Kubernetes and Docker, including cluster operations and production troubleshooting.
• Programming in Python, Go, Java, or C#.
• Knowledge of cloud delivery and deployment models (IaaS, PaaS, SaaS).
• Familiarity with ML concepts: transformer architectures, training, inference.
• Experience with Infrastructure as Code.
• Knowledge of microservices, storage, security and networking in cloud.
• Experience leading AI-assisted development tools with governance and validation.
• Understanding of responsible AI use in engineering workflows.

Responsibilities

• Provide technical guidance aligned to business goals, collaborating with engineers, contractors, and vendors.
• Develop secure, high-quality production code; review, debug, and improve others’ code.
• Influence product design, application functionality, and technical operations through informed decisions.
• Champion firmwide SDLC frameworks, tools, and best practices.
• Promote a culture of diversity, Opportunity, inclusion, and respect.
• Architect and deploy secure, scalable cloud platforms optimized for AI/ML workloads.
• Partner with AI teams to translate compute needs into infrastructure requirements.
• Monitor, manage, and optimize cloud resources for performance and cost efficiency.
• Build CI/CD, automation, and infrastructure-as-code to streamline ML deployment and operations.
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes, while establishing measurable validation standards and promoting reuse.
• Applies knowledge of tools within the SDLC toolchain to improve value realized by automation at scale.

Skills

Kubernetes

Docker

Programming languages: Python, Go,Java

System design

Cloud concepts (IaaS, PaaS, SaaS)

Infrastructure as Code

AI/ML concepts familiarity

Independent problem solving

Security and compliance

Education

Software engineering certification

Tools

Kubernetes

Docker

Prometheus

Grafana

MLflow

NVIDIA DCGM

Job description

JPMorgan Chase is seeking a Senior Lead Software Engineer in Seattle to join the Corporate Sector, Infrastructure Platforms. You’ll operate in an agile team to build and deliver trusted technology products securely and scalably, driving business impact through deep technical expertise across AI/ML workloads and cloud platforms.

You will guide design decisions, champion SDLC best practices, and lead adoption of AI-assisted development tools while ensuring governance and secure engineering