Software Engineer III-AI Platform Engineer

9 hours ago

Jersey City, New Jersey, United States JPMorgan Chase Full time

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

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