Software Engineer [multiple Positions Available]

JPMorgan Chase JPMorgan Chase · Banking · Tampa, FL +1 · Commercial & Investment Bank

Software Engineer role focused on managing and automating cloud infrastructure, CI/CD pipelines, and monitoring. While AI/ML is mentioned as a domain to drive processes for, the core responsibilities are infrastructure engineering and automation, not direct AI/ML model development or deployment.

What you'd actually do

  1. Provide and manage cloud infrastructure resources.
  2. Implement continuous integration for automated deployments and apply incident, problem, and change management processes in daily operations.
  3. Propose solutions to business problems, including automating manual processes and tasks.
  4. Drive process orchestration, data storage, compute and batch processes, compute and streaming data processes, data storage, analytics, AI, and ML.
  5. Develop monitoring and observability dashboards to identify potential issues.

Skills

Required

  • Orchestrating and installing resources for database access including compute power, memory allocation, databases, and system accounts
  • Deploying, running, and monitoring certificate lifecycles and ingestion jobs using scheduling tools such as Airflow
  • Defining and managing data storage and access using data lakehouses
  • Provisioning, tuning, and upgrading operations using CI/CD tools including GitHub, Bitbucket, Jenkins, Jules, and Spinnaker
  • Supporting applications on both on-premises and cloud platforms
  • Setting up file transfer processes in cloud- to-cloud and cloud-to-on-prem use cases
  • Supporting application-to-application authentication solutions
  • Providing and automating infrastructure resources on the cloud
  • Supporting and troubleshooting applications and processes in production environments containing multiple tenants
  • Applying incident, problem, and change management processes
  • Developing, monitoring, and observing dashboards to identify issues
  • Creating processes to monitor CPU and memory peak usage
  • Identifying roadblocks related to bandwidth, prioritization, connectivity, certificate management, missing files, deployment processes, and regulatory reports
  • Automating manual processes and tasks including report generation
  • Designing applications and transaction flows in the payments ecosystem