Infrastructure Engineer III

JPMorganChase•Jersey City, NJ

About The Position

You belong to the top echelon of talent in your field. At one of the world's most iconic financial institutions, where infrastructure is of paramount importance, you can play a pivotal role. As an Infrastructure Engineer III at JPMorganChase within the Corporate Sector, you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Apply your technical knowledge and problem-solving methodologies across multiple applications of moderate scope.

Requirements

  • Formal training or certification in Infrastructure Engineering concepts and 5+ years applied experience
  • Extensive experience running on prem GemFire or comparable distributed caches/data grids at scale; hands on with locators, servers, regions, WAN gateways, client connectivity, rolling upgrades, and patching in controlled change processes.
  • Production experience with Valkey/Redis (cluster mode, replication, persistence via RDB/AOF); capacity and performance management for low latency use cases .
  • Strong Linux and networking skills, including tuning OS/network parameters (file descriptors, TCP keepalive, MTU, buffers) and understanding DNS and load balancing in enterprise environments.
  • Experience designing dashboards/alerts in Splunk/Dynatrace or equivalent for JVM/GC, heap/off heap, queue depth, client connections, and WAN metrics; ability to partner across application and infrastructure teams to identify capacity risks and govern remediation.
  • Experience tuning JVM/GC and GemFire heap/off heap memory models; troubleshooting region rebalancing, partitioning, and gateway queues for cross site replication.

Nice To Haves

  • TigerGraph: Production operations for TigerGraph clusters including schema design and GSQL optimization; controlled patching/rolling upgrades; monitoring and capacity management via enterprise observability; on call incident response, root cause analysis, and tuning for low latency SLAs.
  • MongoDB: Administer replica sets and sharded clusters on prem with scaling and version upgrades through change governance; performance and resiliency via index/schema design, query plan analysis, server parameter tuning; robust backup/restore with PITR and DR runbooks; enterprise security hardening and integrated observability.
  • MongoDB Atlas: Operate Atlas clusters with right sizing and autoscaling policies, multi region/global configurations, and maintenance within change controls; configure security and networking (private endpoints/peering, RBAC, API governance, encryption); implement cost/capacity guardrails; manage snapshots and point in time restore with periodic DR testing.

Responsibilities

  • Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving the data and systems running at scale, and ensures end to end monitoring of applications
  • Resolves most nuances and determines appropriate escalation path
  • Executes conventional approaches to build or break down technical problems
  • Drives the daily activities supporting the standard capacity process applications
  • Partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses
  • Considers upstream/downstream data and systems or technical implications
  • Be accountable for making significant decisions for a project consisting of multiple technologies and applications
  • Adds to team culture of diversity, opportunity, inclusion, and respect

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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