No-SQL Infrastructure Engineer - On-Prem Ops & Automation

Aumni

Buenos Aires

On-site

ARS 181,904,000 - 272,855,000

Full time

14 days+

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Job summary

JPMorganChase is seeking an Infrastructure Engineer III for No-SQL operations to operate and optimize large-scale, low-latency caching platforms on prem. You will drive incident response, performance tuning, controlled changes, and automation while partnering with application, platform, and network teams to ensure resilient services at scale.

The role requires 6+ years of production infrastructure experience, strong Linux and networking fundamentals, and hands-on work with MongoDB, Redis, and

Qualifications

  • Formal training or certification in Infrastructure Engineering concepts and 6+ years applied experience operating distributed infrastructure in production environments; strong problem-solving across projects of moderate scope.
  • Extensive experience on No-SQL products like MongoDB, with architecture, backup and recovery, exposure to performance troubleshooting; shard knowledge is a plus.
  • Production experience with 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 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; partner across teams to identify capacity risks.
  • Foundational understanding of containers and orchestration (Kubernetes) to operate cache services interacting with containerized clients and platform tooling.
  • Experience tuning Linux parameters for performance.
  • Exposure to microservices architectures and REST APIs used by cache clients; understanding authentication and data structures for secure, efficient cache access patterns.
  • Experience automating and managing database tasks using Python and API framework.
  • Experience in developing and using AI skills/agents.

Responsibilities

  • Operate and support on and off-prem No-SQL products like MongoDB, Graph and Cache Db products across dev/QA/production, performing incident triage, root-cause analysis, and recovery for member failures, region issues, and client connectivity, with end-to-end monitoring and appropriate escalation paths.
  • Manage capacity and performance on physical/VM infrastructure.
  • Execute controlled rolling upgrades, patching, and configuration changes via on-prem change management; validate in lower environments, plan maintenance windows, and deliver zero/low-downtime outcomes using conventional approaches to break down technical problems and drive remediation.
  • Monitor cluster health using on-prem observability stacks (e.g., Splunk, Dynatrace, Grafana): build dashboards and alerts.
  • Maintain KBs/runbooks; coordinate with platform, network, storage, and vendor teams for hardware/network incidents, patch validation, and cross-platform architecture changes to modernize processes and resolve issues of moderate complexity.
  • Apply Linux and networking fundamentals (TCP, DNS, load balancing) and container/orchestration basics (e.g., Kubernetes) where applicable; leverage automation and scripting to scale operations and improve resiliency.
  • Add to a team culture of diversity, equity, inclusion, and respect; be accountable for significant decisions across projects spanning multiple technologies and applications.

Skills

Distributed infrastructure management
Root-cause analysis
Incident response
Problem solving
Linux networking fundamentals

Education

Infrastructure Engineering certification

Tools

MongoDB
Redis
Dynatrace
Grafana
Splunk
Kubernetes
Python
TigerGraph
GemFire
MongoDB Atlas

Job description

JPMorganChase is seeking an Infrastructure Engineer III for No-SQL operations to operate and optimize large-scale, low-latency caching platforms on prem. You will drive incident response, performance tuning, controlled changes, and automation while partnering with application, platform, and network teams to ensure resilient services at scale.

The role requires 6+ years of production infrastructure experience, strong Linux and networking fundamentals, and hands-on work with MongoDB, Redis, and

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