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Senior Lead Software Engineer- AI Platform engineer

JPMorganChase

Salary not specified
Dec 15, 2025
Jersey City, NJ, US
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JPMorgan Chase is looking to enhance, build, and deliver top-notch technology products in a secure, stable, and scalable way, and drive significant business impact through technical capabilities and contributions.

Requirements

  • Proficiency in at least one programming language, such as Python, Go, Java, or C-Sharp.
  • Strong knowledge of cloud computing delivery models (IaaS, PaaS, SaaS) and deployment models (Public, Private, Hybrid Cloud).
  • Foundational understanding of machine learning concepts, including transformer architecture, ML training, and inference.
  • Experience in solutions design and engineering, containerization (Docker, Kubernetes), and cloud service providers (AWS, Azure, GCP).
  • Experience with Infrastructure as Code.
  • Deep understanding of cloud component architecture: Microservices, Containers, IaaS, Storage, Security, and routing/switching technologies.
  • Foundational understanding of NVIDIA GPU infrastructure software (e.g., DCGM, BCM, Triton Inference)

Responsibilities

  • Provide technical guidance and direction to support business objectives, collaborating with technical teams, contractors, and vendors.
  • Develop secure, high-quality production code, and review and debug code written by others.
  • Influence product design, application functionality, and technical operations through informed decision-making.
  • Architect and deploy secure, scalable cloud infrastructure platforms optimized for AI and machine learning workloads.
  • Collaborate with AI teams to translate computational needs into infrastructure requirements.
  • Monitor, manage, and optimize cloud resources for performance and cost efficiency.
  • Design and implement continuous integration and delivery pipelines for machine learning workloads.

Other

  • Formal training or certification in software engineering concepts with 5+ years of applied experience.
  • Background in Computer Science, Computer Engineering, Mathematics, or a related technical field.
  • Ability to independently tackle design and functionality problems with minimal oversight.
  • Promote a culture of diversity, equity, inclusion, and respect within the team.
  • We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success.