Software Engineer III- AI Platform Engineer

OverviewWe 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.You will build, deploy, and maintain robust infrastructure platforms within cloud environments, tailored for AI and machine learning workloads. This role involves building and maintaining highly scalable and resilient infrastructure platforms to enable training and inference for Large Language Models.ResponsibilitiesExecute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problemsCreate secure and high-quality production code and maintain algorithms that run synchronously with appropriate systemsProduce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code developmentGather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systemsProactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architectureContribute to software engineering communities of practice and events that explore new and emerging technologiesEngineer infrastructure platforms that are secure, scalable, and optimized for AI and machine learning workloadsCollaborate with AI teams to understand computational needs and translate these into infrastructure requirementsMonitor, manage, and optimize cloud resources to maximize performance and minimize costsDesign and implement continuous integration and delivery pipelines for machine learning workloadsDevelop automation scripts and infrastructure as code to streamline deployment and management tasksRequired qualifications, capabilities, and skillsFormal training or certification in software engineering concepts and 3+ years of applied experienceGood knowledge of cloud computing delivery models (IaaS, PaaS, and SaaS) and deployment models related to Public, Private, and Hybrid Cloud servicesProficient in Linux environments, including scripting and administrationFamiliarity with cloud data services and big data processing toolsFoundational understanding of machine learning concepts such as transformer architecture, ML training, and inferenceExperience in one or more high-performance computing and machine learning frameworks such as vLLM, Ray.io, or Slurm is preferableStrong hands-on coding experience with Python and/or GolangExperience 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 modelingDeep understanding of cloud component architecture: microservices, containers, IaaS, storage, security, and knowledge of routing/switching technologies #J-18808-Ljbffr

Created: 2025-09-29