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, , or Slurm is preferable.
• Strong hands-on coding experience with Python and/or Golang.
• Work experience in solutions design and engineering, with experience in containerization (Docker, Kubernetes) and cloud service providers (AWS, Azure, GCP).
• Experience with infrastructure as code (Terraform, CloudFormation) and automation tools (Ansible, Chef, Puppet).
• Strong background in network architecture, database programming (SQL/NoSQL), and data modeling.
• Deep understanding of cloud component architecture: microservices, containers, IaaS, storage, security, and knowledge of routing/switching technologies.

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies