✦ Luna Orbit — AI & Machine Learning

Senior Lead Software Engineer- AI Platform engineer

at JPMorgan Chase

📍 Jersey City, NJ, United States Hybrid Posted March 27, 2026
Type Full-Time
Experience senior
Exp. Years 5+ years
Education Technical field (Computer Science, Engineering, Mathematics)
Category AI & Machine Learning

Senior AI platform engineer responsible for designing and deploying scalable AI infrastructure in cloud environments, supporting machine learning workloads and AI solutions.

  • Design AI infrastructure
  • Deploy ML models
  • Manage cloud resources
  • Collaborate with AI teams
  • Implement automation pipelines

Focuses on cloud-based AI infrastructure, containerization, orchestration, and automation, leveraging AWS, Azure, GCP, Kubernetes, and Docker.

The ideal candidate is a senior software engineer with 5+ years of experience in cloud infrastructure, machine learning, and AI platform development, with strong expertise in AWS, Azure, or GCP, and container orchestration.

5+ years software engineeringSystem designApplication developmentCloud infrastructureMachine learning fundamentals
NVIDIA GPU infrastructureML training and inferenceAI solutions design
AWSAzureGCPDockerKubernetesAzure FunctionsAzure StorageAzure OpenAI
Software engineeringcloud infrastructuremachine learningKubernetesDockerinfrastructure as codeCI/CDAWSAzureGCP
PythonGoJavaC#Cloud ComputingAWSAzureGCPMachine LearningContainerizationKubernetesInfrastructure as CodeSecurityDevOpsCI/CD
Technical GuidanceProblem SolvingCollaborationLeadershipCommunication
Industry Financial Services
Job Function AI infrastructure engineering in cloud environments
Role Subtype AI & Machine Learning Engineer
Tech Domains Amazon Web Services, Microsoft Azure, Google Cloud Platform, Kubernetes, Docker, AI Infrastructure
AI PlatformMachine LearningCloud InfrastructureAWSAzureGCPKubernetesDockerInfrastructure as CodeCI/CDML trainingML inferenceAI solutionsSoftware EngineeringSystem DesignAI platformmachine learningcloud infrastructureinfrastructure as code

Lack of cloud or AI infrastructure experience, No experience with Kubernetes or Docker, Less than 5 years of software engineering

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