Home › Companies › Qube Research & Technologies › Network Operations Engineer
Network Operations Engineer
Qube Research & Technologies · New York · Active · $150,000–$200,000 / year · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | Qube Research & Technologies |
| Title | Network Operations Engineer |
| Normalized title | - |
| Department / team | Technology-Infrastructure |
| Location | New York, NY, United States |
| Work model | - |
| Employment type | Full Time |
| Salary | $150,000–$200,000 / year |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2026-02-02 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Qube Research & Technologies. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in New York. | Open |
| Department jobs | Active postings in Technology-Infrastructure. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Qube Research & Technologies |
| Source | e132faef-1bac-40ed-b258-2913e61fb312 |
| ATS provider | Greenhouse |
Description
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.
The Network Operations team is part of QRT’s global infrastructure function and ensures the stability and reliability of the firm’s global network. The team provides 24/7 operational support, covering monitoring, incident triage, and troubleshooting across a diverse set of environments including low-latency trading, high-performance computing, and global WAN technologies.
Your Future Role within QRT
Ensuring the smooth and efficient operation of the QRT Network in Trading, High Performance Compute, WAN, and other environments.
Using modern monitoring techniques and tooling to detect and react to incidents, ensuring a fast response within the target SLA.
Provide initial triage of incidents reported by internal teams or detected through monitoring tooling.
Support and assist SMEs and vendor support teams through deeper and high priority incidents through to resolution.
Owning end-to-end hardware failure process, collaborating with vendors to obtain replacement parts and put into operation.
Drive proactively detection of potential incidents using monitoring tooling and trend analysis.
Perform operational BAU changes during out of hours change windows such as, ACL updates, port configurations…etc
Reporting service outages to connectivity providers, working for fast resolution and post outage RFO reports.
Create and update documentation such as diagrams, knowledge articles, how-to guide…etc with aim to reduce time to resolve.
Review service performance for connectivity providers and vendors to find and improve sub-performing areas for improvement.
Running post incident reviews finding opportunities to improve the availability and reliability of our infrastructure.
Your Present Skillset
CCNA Certified and/or Degree in relevant subject area at 2:1 or above.
Experience in an operational support team
Experience using Cisco, Arista, Corvil products
Strong troubleshooting skills of network infrastructure and collaborating with vendor support teams when required to perform deep investigation.
Knowledge of network technologies (i.e. BGP, Multicast, TCP/IP, VXLAN, General Routing/Switching, etc.)
Prior usage of NMS tools (i.e. Solarwinds, Zabbix, Grafana, Prometheus, etc.)
Experience with analysis/troubleshooting tooling (i.e. Wireshark, Splunk, PromQL., etc.)
Informed on industry trends and emerging technologies to ensure our automation and practices remains cutting-edge.
Experience of service management tooling (i.e. Jira, ServiceNow, etc.)
Base salary range for this position is $150,000 to $200,000 per year.
QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.
Full job record
| Job ID | f91b2b5d805898099647488ea7cca01e340754d1 |
| Org ID | 5afd0099-5799-4d96-bdaa-da9e340fcf21 |
| Source ID | e132faef-1bac-40ed-b258-2913e61fb312 |
| Board ID | e132faef-1bac-40ed-b258-2913e61fb312 |
| Provider | greenhouse |
| Provider Job Key | 8364463002 |
| Title | Network Operations Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | New York |
| Department | Technology-Infrastructure |
| Team | — |
| Employment Type | Full-time |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | NY |
| City | New York |
| Salary Raw | salary range for this position is $150,000 to $200,000 per year |
| Salary Min | 150,000 |
| Salary Max | 200,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://job-boards.greenhouse.io/quberesearchandtechnologies/jobs/8364463002 |
| Apply URL | https://job-boards.greenhouse.io/quberesearchandtechnologies/jobs/8364463002 |
| First Seen At | 2026-05-29 23:04:25Z |
| Last Seen At | 2026-06-06 07:35:26Z |
| Last Checked At | 2026-06-06 07:35:26Z |
| Last Changed At | 2026-05-29 23:04:25Z |
| Inactive At | — |
| Source Posted At | 2026-02-02 14:33:57Z |
| Source Updated At | 2026-05-08 15:48:43Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=quberesearchandtechnologies/date=2026-06-06/2026-06-06T07-35-25-685Z-0c6c968565fc33592978483b49ba358be23c3006ef341b3682c896700d7ca76a.json |
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