10351 - Network Reliability Engineer

Role Mission

Key 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.

Observability & Operational Intelligence

• 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.

Automation & Engineering

• 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.

Engineering Practices & Collaboration

• 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.

Core Technical Qualifications

• 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.

Preferred Experience

• 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.

What Success Looks Like

• Network issues are detected earlier, diagnosed faster, and resolved with better telemetry and clearer service-health signals.
• Operational dashboards provide a trusted view of availability, performance, capacity, and risk across infrastructure domains.
• Alert noise is reduced and remaining alerts are actionable, owned, and tied to defined operational responses.
• Recurring manual tasks and common failure patterns are systematically automated or engineered out.
• Network, Cloud, and Infrastructure teams use increasingly consistent monitoring, documentation, reliability, and incident-management practices.

TEAM CULTURE

Our team thrives on collaboration, innovation, and continuous learning. We foster a supportive environment where every member is encouraged to share ideas and contribute to problem-solving. We value: 

• Passion for Technology: We are enthusiastic about emerging technologies and their potential to transform the automotive industry. 
• Agility: We work in an agile environment, adapting quickly to changes and continuously improving our processes. 
• Teamwork: We believe in the power of teamwork and collaboration, supporting each other to achieve common goals. 
• Growth: We prioritize personal and professional growth, offering opportunities for learning and development. 
• Inclusivity: We maintain an inclusive culture where diverse perspectives are valued, and everyone feels welcome. 

Base Salary Range: $115,000-$125,000

Our Company adheres to the equal employment opportunity guidelines set forth by federal, state and local laws. The information requested on this form is sought in good faith and will not be used to discriminate against the applicant based on race, religion or creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic characteristics, marital status, sex or gender (which includes pregnancy, childbirth, or related circumstances), gender identity, gender expression, age, citizenship, sexual orientation, family care or medical leave status, military and veteran status, political affiliation, or any other characteristic protected by federal, state and local laws.