Software Engineer III-AI Platform Engineer

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Corporate Sector, Infrastructure Platforms team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way.

You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities


* Executes software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.


* Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.


* Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met during software code development.


* Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.


* Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements in coding hygiene and system architecture.


* Contributes to software engineering communities of practice and events that explore new and emerging technologies.


* Engineers infrastructure platforms that are secure, scalable, and optimized for AI and machine learning workloads.


* Collaborates with AI teams to understand computational needs and translates these into infrastructure requirements.


* Monitors, manages, and optimizes cloud resources to maximize performance and minimize costs.


* Designs and implements continuous integration and delivery pipelines for machine learning workloads.


* Develops automation scripts and infrastructure as code to streamline deployment and management tasks.

Required qualifications, capabilities, and skills


* Formal training or certification in software engineering concepts and 3+ years of applied experience.


* Good knowledge of cloud computing delivery models (IaaS, PaaS, and SaaS) and deployment models related to Public, Private, and Hybrid Cloud services.


* Proficient in Linux environments, including scripting and administration.


* Familiarity with cloud data services and big data processing tools.


* Foundational understanding of machine learning concepts such as transformer architecture, ML training, and inference.


* Experience in one or more high-performance computing and machine learning frameworks such as vLLM, Ray.io, or Slurm is preferable.


* Strong hands-on coding experience with Python and/or Golang.


* Work experience in solutions design and engineering, with experience in conta...