Manager, Network Reliability and Resiliency

Manage, coach, and develop network reliability engineers through clear goals, regular feedback, performance reviews, and career development.

Set priorities and ownership for operational work, reliability initiatives, technical debt, and project commitments.

Build sustainable on-call and escalation practices and promote calm, accountable execution during high-pressure events.

Hire and onboard new team members and ensure they gain the technical context, operating practices, and support needed to succeed.

Actively engage in complex production troubleshooting and customer-impacting escalations by reviewing evidence, guiding technical hypotheses, identifying risk, and coordinating the right subject-matter experts.

Lead or support major incident response, including mitigation decisions, stakeholder communication, escalation management, and restoration of service.

Ensure post-incident reviews identify contributing factors and result in clear, prioritized, and completed preventive actions.

Review high-risk changes and operational plans for technical soundness, rollback readiness, monitoring coverage, and customer impact.

Partner with engineering and service owners to define and use meaningful SLIs and SLOs for network services.

Use error budgets, incident trends, capacity signals, and operational data to balance service reliability, delivery pace, and risk.

Improve observability, alert quality, dashboards, runbooks, and operational readiness so the team can detect and resolve issues efficiently.

Track practical reliability outcomes such as availability, recurring incidents, change success, alert effectiveness, and time to detect and recover.

Create a strong automation mindset across the team and identify repetitive, error-prone, or slow operational activities that should be eliminated or automated.

Prioritize automation that improves change safety, validation, triage, remediation, reporting, and operational consistency.

Work with engineering and automation partners to move useful tools and workflows into production with clear ownership, documentation, monitoring, and support models.

Measure whether automation reduces toil and operational risk rather than treating automation delivery alone as the outcome.

Collaborate with network engineering, SRE, security, platform, data center, customer support, and other partner teams to resolve issues and improve service reliability.

Represent the team's technical assessment, customer impact, risks, dependencies, and recovery plan clearly to technical and business stakeholders.

Ensure new technologies, services, and automations meet operational acceptance criteria before the team assumes production ownership.

Improve incident, change, problem-management, and escalation processes based on operational evidence and team feedback.

Five or more years of relevant experience in network engineering, network reliability, cloud infrastructure, SRE, or large-scale production operations.

Experience managing or formally leading engineers, including prioritization, coaching, performance feedback, and delivery accountability.

Sufficient hands-on technical background to guide production troubleshooting across Linux-based systems and network services. You can interpret logs, metrics, alerts, and packet-level evidence and make sound operational decisions.

Working knowledge of networking concepts and technologies such as TCP/IP, routing, DNS, load balancing or ADCs, firewalls, cloud networking, and network observability. Deep expertise in every area is not required.

Experience leading or coordinating significant incidents and customer-impacting escalations in an always-on service environment.

Working knowledge of SRE practices, including SLIs, SLOs, error budgets, monitoring and alerting, incident management, and post-incident improvement.

An automation mindset and experience using scripting, workflow automation, or engineering partnerships to reduce manual operational work and improve consistency.

Experience working with geographically distributed teams and cross-functional partners in software, platform, infrastructure, or cloud services.

Strong written and verbal communication skills, sound judgment under pressure, and consistent attention to detail.

Experience using or evaluating AI-assisted tools to improve analysis, decision-making, automation, or team workflows, with appropriate attention to accuracy, security, and operational risk.

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