10351 - Network Reliability Engineer

Hyundai Autoever America•Irvine, CA

1d•$115,000 - $125,000•Onsite

About The Position

Hyundai AutoEver America (HAEA) is the IT powerhouse behind Hyundai Motor Corporation, a Fortune 500 global leader in the automotive industry. HAEA provides Professional and Managed IT Services and Support to top Hyundai affiliate brands. The Role Mission is to transform infrastructure operations from reactive monitoring and troubleshooting into proactive, measurable reliability engineering by combining deep network expertise with observability, telemetry, automation, and operational intelligence. The Network Reliability Engineer is a hands-on engineering role focused on improving the reliability, observability, automation, and operational health of enterprise network infrastructure. This position combines deep traditional network engineering expertise with modern Site Reliability Engineering (SRE), telemetry, monitoring, and automation practices. The engineer will maintain strong technical ownership of routing, switching, firewalls, LAN/WAN, and network troubleshooting while helping establish a common observability model across Network, Cloud, and Infrastructure Engineering. The objective is to move infrastructure operations from reactive troubleshooting toward proactive, measurable reliability engineering.

Requirements

Strong hands-on enterprise network engineering and operations experience.
Deep knowledge of Cisco routing and switching technologies.
Hands-on experience with Palo Alto firewalls, firewall policy management, segmentation, VPNs, and enterprise network security controls.
Experience with Cisco ISE for network access control, authentication, authorization, posture, profiling, and policy enforcement.
Strong TCP/IP fundamentals and advanced network troubleshooting skills.
Strong understanding of Layer 2 and Layer 3 networking, including BGP, OSPF, VLANs, STP, and related protocols.
Experience with LAN/WAN architecture, VPNs, segmentation, DNS/DHCP, and network performance analysis.
Experience with infrastructure monitoring and observability platforms such as Splunk, SolarWinds, Grafana, Prometheus, or comparable technologies.
Experience with telemetry sources and protocols such as SNMP, syslog, NetFlow/IPFIX, APIs, or streaming telemetry.
Working Linux knowledge and the ability to troubleshoot infrastructure and connectivity across operating-system boundaries.
Experience with Python, Ansible, APIs, or similar infrastructure/network automation technologies.
The ideal candidate is first and foremost a strong infrastructure and network engineer who is comfortable working hands-on with enterprise networking technologies.
They also think beyond device-level operations: they use data, telemetry, automation, and reliability engineering to understand how infrastructure behaves as a service.
This is not a pure monitoring-tool administrator role and not a pure cloud/SRE role; it is a network-centered reliability engineering position with a horizontal observability mandate.

Nice To Haves

Public cloud networking within AWS, Azure, or Google Cloud.
Hybrid-cloud or private-cloud environments, including OpenStack or similar platforms.
Infrastructure-as-Code technologies such as Terraform.
SRE practices including SLIs, SLOs, reliability metrics, error budgets, and operational readiness.
Modern telemetry and OpenTelemetry concepts.
Automated network validation, configuration assurance, and remediation.
Major incident management and structured root-cause analysis.
Building both executive-level and engineering-level infrastructure dashboards.
Experience integrating monitoring or observability data with ITSM, ticketing, or workflow platforms.

Responsibilities

Design, operate, troubleshoot, and improve enterprise LAN, WAN, routing, switching, and firewall infrastructure.
Provide hands-on engineering support for Cisco routing/switching, Cisco ISE, Palo Alto firewalls, and related enterprise networking technologies.
Troubleshoot Layer 2 and Layer 3 connectivity, routing, performance, latency, packet loss, and availability issues.
Support and improve BGP, OSPF, VLAN, STP, VPN, DNS/DHCP, segmentation, and related network services.
Improve network resilience, redundancy, capacity management, fault detection, and service recoverability.
Participate in incident response, root-cause analysis, problem management, and post-incident corrective actions.
Identify recurring failure patterns and engineer durable solutions rather than repeated operational workarounds.
Develop and mature infrastructure monitoring and observability across Network, Cloud, and Infrastructure environments.
Build actionable operational dashboards for availability, performance, capacity, latency, errors, utilization, and service health.
Improve telemetry collection through technologies such as SNMP, syslog, NetFlow/IPFIX, APIs, streaming telemetry, and infrastructure metrics.
Develop alerting strategies that prioritize actionable conditions, reduce alert fatigue, and improve mean time to detect and recover.
Establish infrastructure health indicators, service-level indicators (SLIs), service-level objectives (SLOs), and reliability metrics where appropriate.
Improve end-to-end visibility across network, compute, cloud, and application dependencies.
Partner with engineering teams to identify monitoring gaps, define instrumentation standards, and improve operational readiness.
Use observability data to identify performance trends, capacity risks, recurring faults, and opportunities for engineering improvement.
Automate repetitive network and infrastructure operational activities using scripting, APIs, orchestration, and configuration-management tools.
Develop tooling using Python, Ansible, REST APIs, Git-based workflows, or similar technologies.
Support Infrastructure-as-Code and configuration-as-code practices where appropriate.
Automate health validation, configuration checks, compliance checks, reporting, and operational workflows.
Integrate observability data into incident-management, operational-review, and engineering workflows.
Evaluate opportunities for event-driven or automated remediation while maintaining appropriate operational controls.
Create and maintain architecture diagrams, operational documentation, standards, runbooks, and troubleshooting procedures.
Contribute to post-incident reviews, root-cause analysis, and corrective-action tracking.
Partner with Cloud, Infrastructure, Security, Service Management, and application teams on cross-platform reliability issues.
Help define engineering standards for monitoring, telemetry, alerting, dashboards, capacity, and operational readiness.
Mentor peers and contribute to a culture of disciplined engineering, documentation, automation, and continuous improvement.