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JPMorgan Infrastructure Engineer III - Data Streaming 
United States, New Jersey, Jersey City 
129620229

01.04.2025

Job Responsibilities

  • Deep knowledge of Kafka technology, Kafka connect framework and distributed infrastructure technologies with the ability to operate in and migrate across public and private clouds
  • Be responsible for Installation, configuration, and maintaining Kafka Clusters including performance tuning, monitoring health and availability
  • Ensures streaming infrastructure platform is adhering to the firm wide security & controls standards and addresses any drift at priority
  • Applies technical expertise and problem-solving methodologies to projects of moderate scope
  • Works with other platforms to architect and implement changes required to resolve issues and modernize the organization and its technology processes
  • Executes creative solutions for the design, development, and technical troubleshooting for problems of moderate complexity
  • Troubleshoots complex priority incidents by upstream/downstream data and systems or technical implications, able to advise on mitigation actions, while balancing the communication needs of each case.
  • Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Formal training or certification on infrastructure engineering concepts and 3+ years of applied experience
  • Deep knowledge of one or more areas of infrastructure engineering such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, or performance assessments
  • Experience with database platforms and SQL.
  • Drives to continue to develop technical and cross-functional knowledge outside of the product
  • Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in public and private clouds (ex. AWS, Cloud Foundry, Kubernetes
  • Experience with working in a large distributed system across a range of technologies including compute, databases, messaging, observability, and telemetry
  • Deep knowledge of incident, change, and problem management processes

Preferred qualifications, capabilities, and skills

  • Knowledge of Kubernetes, Terraform, and AWS
  • CICD processes and technologies (Jules, Jira, Git etc.)
  • Authentication and authorization technologies (OAUTH Kerberos etc.)
  • Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in public and private clouds (ex. AWS, Cloud Foundry, Kubernetes