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Added 21 mins ago
Principal Site Reliability Engineer
Palo Alto Networks, Inc.
CA
As a Principal Site Reliability Engineer within the Cortex DevOps team, you will serve as a technical leader driving the reliability, scalability, observability, and operational excellence…
Added 25 mins ago
TT
Senior Full-Stack Software Engineer
True Talent Solutions Partners
Redwood City, CA
- $215,000 to $290,000 USD / year
- Lead projects from architecture through production, owning implementation, deployment, and iteration.
Added 25 mins ago
Research Engineer, Agentic Infrastructure, liftlab - Stanford Law School
Stanford University
Stanford, CA
Stanford Law School’s Legal Innovation through Frontier Technology Lab (liftlab) is seeking a Research Engineer to design and implement the software systems that make the lab’s research…
Added 25 mins ago
Applied Research Lead, AI for Teaching
Stanford University
Stanford, CA
…and validate models. You do not need to be a machine learning engineer, but you do need to be fluent enough to work directly with data and with partners’ engineering…
Added 26 mins ago
Software Engineer - Traffic Capacity & Performance
Meta
Menlo Park, CA
Software Engineer - Traffic Capacity & Performance Responsibilities:
Added 26 mins ago
Senior Software Development Engineer in Test, Confidential Computing - SDET
Nvidia
Santa Clara, CA
We are looking for Senior Software Development Engineer in Test to join our Confidential Computing team for NVIDIA's Enterprise SWQA team. Are you passionate about new feature development,…
Added 26 mins ago
AI Manager/Lead - Lead Data Engineer II
Deloitte
Sacramento, CA
As a Lead Data Engineer II on the AI & Engineering team, you will be responsible for:
Added 27 mins ago
EG
Network Engineer
Eliassen Group
San Mateo, CA
- $80 to $90 USD / hour
Our client seeks a seasoned Network Engineer to design, implement, and operate enterprise and cloud networking across Azure and AWS. The role shall focus on secure connectivity, routing and…
Added 27 mins ago
EG
Cloud Engineer
Eliassen Group
Sacramento, CA
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 1 hour ago
EG
Cloud Engineer
Eliassen Group
Dover, DE
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 1 hour ago
Senior GCP Cloud Engineer
SMITH JOHNSON GROUP INC.
SANDY, UT
Our client is seeking a Senior GCP Cloud Engineer for a contract opportunity to design and deliver secure, scalable cloud solutions on Google Cloud Platform (GCP) and lead the migration of…
Added 1 hour ago
EG
Cloud Engineer
Eliassen Group
Salt Lake City, UT
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 1 hour ago
G
Software Development Engineer in Test (SDET) Remote
Genesis10
WOODBURY, NY
- $55 to $70 USD / hour
Genesis10 is currently seeking a Software Development Engineer in Test (SDET) for a remote contract to hire opportunity with a Major Financial Institution. In this role, you will lead test…
Added 1 hour ago
Network Engineer (Boston MA or New England)
Presidio Networked Solutions, LLC
HAUPPAUGE, NY
…intelligent insights. The RolePresidio is seeking a Network Engineer to join our team to support our client base. This individual will lead small to large projects on their own or as part…
Added 1 hour ago
EG
Cloud Engineer
Eliassen Group
Albany, NY
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 2 hours ago
EG
Cloud Engineer
Eliassen Group
Olympia, WA
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 2 hours ago
EG
Cloud Engineer
Eliassen Group
Salem, OR
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 2 hours ago
EG
Cloud Engineer
Eliassen Group
Topeka, KS
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 2 hours ago
EG
Cloud Engineer
Eliassen Group
Nashville, TN
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 2 hours ago
Senior Manager, AI & Analytics Engineering
The Coca-Cola Company
Atlanta, GA
Engineer production Python and API services with automated testing, CI/CD, monitoring, and clear operational ownership; design for performance, concurrent demand, reliability, scale, and…
Added 2 hours ago
EG
Cloud Engineer
Eliassen Group
Atlanta, GA
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 3 hours ago
Lead DevSecOps Engineer
Leidos
Eagan, MN
Leidos is seeking a Lead DevSecOps Engineer to join the Air Traffic Business Area within the Homeland Sector, supporting the development of the Leidos Common Automation Platform (L-CAP).…
Added 3 hours ago
EG
Cloud Engineer
Eliassen Group
Saint Paul, MN
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 4 hours ago
EG
Cloud Engineer
Eliassen Group
Indianapolis, IN
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 4 hours ago
Consultant, Software Engineer (DevXP)
Nationwide Life and Annuity Insurance Co
OH
Software Engineer - AI-Enabled Requirements & Quality Engineering

Closed listing

JPMorgan Chase

Senior Lead Software Engineer- AI/ML Training Infrastructure

Palo Alto, CA, United States

Base Pay/Salary Seattle,WA $175,750.00-$260,000.00; Palo Alto,CA $175,750.00-$260,000.00

This opening has closed.

The original listing is kept below for reference.

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Job details

Pay: Base Pay/Salary Seattle,WA $175,750.00-$260,000.00; Palo Alto,CA $175,750.00-$260,000.00
Experience: Formal training or certification on software engineering concepts and 5+ years applied experience
Posting language: English
Posted: Oct 15, 2026

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Original job description

Archived listing. The details below describe a past opening.

Senior Lead Software Engineer- AI/ML Training Infrastructure

Seattle, WA, United States

and 1 more

Job Information

Job Identification 210782300
Job Category Software Engineering
Business Unit Corporate Sector
Posting Date 11/06/2026, 10:48 PM
Locations 1301 2nd Ave, Seattle, WA, 98101, US3223 Hanover St, Palo Alto, CA, 94304, US
Job Schedule Full time
Base Pay/Salary Seattle,WA $175,750.00-$260,000.00; Palo Alto,CA $175,750.00-$260,000.00

Job Description

Be an integral part of an agile engineering team that is constantly pushing the boundaries of what is possible across cloud, infrastructure, and AI/ML platforms.

As a Senior Lead Software Engineer at JPMorganChase within the Corporate Sector, Infrastructure Platforms team, you will play a critical role in designing, building, and operating secure, scalable, and resilient infrastructure platforms that power enterprise AI/ML workloads. You will help deliver market-leading technology products in a secure, stable, and highly available manner while driving meaningful business impact through deep technical expertise, engineering leadership, and strong problem-solving capabilities.

In this role, you will partner closely with AI/ML engineering teams, platform teams, product owners, and infrastructure stakeholders to translate complex compute, storage, networking, GPU, and scalability requirements into production-ready platforms for multi-GPU and multi-node model training. You will also help advance automation, developer productivity, responsible AI-assisted engineering practices, and operational excellence across the software delivery lifecycle.

Job Responsibilities

Design, develop, test, and deliver secure, high-quality production code; review, debug, and improve code written by others.
Architect, build, and operate secure, scalable cloud infrastructure platforms optimized for multi-GPU and multi-node AI/ML training workloads.
Partner with AI/ML, data science, and platform engineering teams to translate compute, storage, networking, GPU, and scalability needs into robust infrastructure requirements and platform capabilities.
Drive technical design decisions that influence product architecture, application functionality, infrastructure strategy, and operational effectiveness.
Monitor, manage, and optimize cloud and GPU infrastructure resources for performance, reliability, utilization, scalability, and cost efficiency.
Build and maintain CI/CD pipelines, automation frameworks, and infrastructure-as-code solutions to streamline ML platform deployment, operations, and lifecycle management.
Provide technical leadership and guidance to engineers, contractors, and vendor partners, ensuring solutions align with business priorities, engineering standards, security expectations, and long-term platform strategy.
Apply deep knowledge of the Software Development Life Cycle toolchain, including enterprise-approved AI-assisted development and automation capabilities, to improve engineering productivity and automation at scale.
Champion firmwide SDLC frameworks, engineering standards, secure coding practices, resiliency expectations, and operational best practices.
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.

Required qualifications, capabilities and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Hands-on experience building highly scalable and highly available infrastructure for machine learning training and/or inference workloads.
Solid system-level understanding of GPU infrastructure, accelerators, high-speed interconnects, distributed compute, and related platform technologies.
Strong experience with Kubernetes and containerization technologies, including Docker, cluster operations, workload scheduling, observability, and production troubleshooting.
Proficiency in at least one modern programming language, such as Python, Go, Java, or C#.
Demonstrated ability to independently solve complex design, scalability, reliability, performance, and functionality challenges with minimal oversight.
Deep understanding of cloud component architecture, including microservices, compute, storage, networking, security, routing, and switching technologies.
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
Design, develop, test, and deliver secure, high-quality production code; review, debug, and improve code written by others.

Preferred Qualifications, Capabilities, and Skills

Hands-on experience with performance monitoring, production debugging, profiling, sampling, bottleneck analysis, and capacity optimization.
Foundational understanding of NVIDIA GPU infrastructure software and ecosystem tooling, such as DCGM, BCM, NVIDIA drivers, CUDA, and training libraries.
Experience with MLOps platforms and tooling, including MLflow or similar model lifecycle management solutions.
Background in high-performance computing, distributed systems, and ML frameworks, including distributed training, Ray.io, Slurm, or similar workload orchestration technologies.
Strong knowledge of network architecture, including high-throughput and low-latency networking patterns for distributed compute and AI/ML workloads.
Familiarity with cloud data services, big data processing platforms, Linux systems, and storage technologies used in large-scale data and ML environments.
Experience designing platforms that support model training, experiment tracking, feature pipelines, model serving, and scalable inference in enterprise environments.

FEDERAL DEPOSIT INSURANCE ACT:

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorgan Chase’s review of criminal conviction history, including pretrial diversions or program entries

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs (https://careers.jpmorgan.com/us/en/how-we-hire/faqs) for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About the Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

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More about this job

Skills

ML
Leadership
Problem solving
CI/CD
Infrastructure as code
Software development
Root cause analysis
Test automation
Machine learning
Kubernetes
Docker
Scheduling
Troubleshooting
Python
Go
Oracle Java
C#
Microservices
Software development tools
Coaching
Debugging
Mlflow
Process data
Linux

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