Software Engineer III- AI Platform Engineer
Software Engineer III- AI Platform Engineer
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Job Description
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 firms 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.
Job responsibilities
Execute 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
Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems
Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Gather analyze synthesize and develop visualizations and reporting from large diverse data sets in service of continuous improvement of software applications and systems
Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture
Contribute to software engineering communities of practice and events that explore new and emerging technologies
Engineer infrastructure platforms that are secure scalable and optimized for AI and machine learning workloads
Collaborate with AI teams to understand computational needs and translate these into infrastructure requirements
Monitor manage and optimize cloud resources to maximize performance and minimize costs
Design and implement continuous integration and delivery pipelines for machine learning workloads
Develop 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
Familiarity with cloud data services and big data processing tools
Foundational understanding of machine learning concepts such as transformer architecture ML training and inference is preferable
Experience in one or more high-performance computing and machine learning frameworks such as vLLM or Slurm is preferable
Hands-on coding experience with Python and/or Golang is preferable
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) is preferable
Foundational understanding of cloud component architecture: microservices containers IaaS storage security and knowledge of routing/switching technologies
Employment Type
Full-Time
