Director - Cloud and Engineering Enablement

NETGEAR
Cork, IrelandPosted 31 March 2026

Job Description

Director - Cloud and Engineering Enablement About NETGEAR NETGEAR delivers world-class connectivity and cybersecurity through premium hardware, cloud services, and mobile experiences. We power connected homes and businesses with intelligent networking, subscription services, and secure digital experiences across Consumer and Enterprise divisions. We are evolving our cloud ecosystem into a unified, scalable platform that accelerates innovation, protects revenue-critical systems, and enables engineering teams to operate at the highest levels of performance. Role Overview Location: Cork office - NETGEAR's European Headquarters Working Model: Hybrid 3 days a week on site Reporting to: VP Engineering As Director of Cloud & Engineering Enablement, you will lead the transformation of NETGEAR’s cloud platform into a modern, automation-first, high-performance engineering ecosystem serving both Consumer and Enterprise divisions. You will oversee: - Cloud Platform Engineering - Site Reliability Engineering (SRE) - Cloud Architecture - Cloud Shared Services (account management, Stripe billing, AWS IoT agents, cloud API infrastructure) This is a culture-shaping leadership role. You will move the organization from manual processes and reactive operations toward self-service infrastructure, engineered reliability, AI-enabled development, and measurable engineering excellence. The mandate is clear: remove friction, unblock engineers, increase velocity, protect revenue systems, and embed a durable culture of ownership and operational discipline. Key Responsibilities Cloud Platform & Automation - Build and evolve a unified cloud platform serving Consumer and Enterprise divisions - Eliminate manual infrastructure and deployment processes - Implement Infrastructure as Code (Terraform preferred) across environments - Enable engineers to self-serve infrastructure, deployments, and production monitoring - Standardize CI/CD pipelines and release practices - Reduce dependency bottlenecks and operational friction The platform should accelerate engineering — not gate it. Site Reliability Engineering & Operational Excellence - Establish and scale a strong SRE culture across engineering - Define SLIs, SLOs, and error budgets across shared services - Reduce production incidents and improve MTTR - Drive disciplined incident response and permanent root-cause elimination - Lead observability maturity (Datadog implementation experience a distinct advantage) - Reduce operational toil through automation High-Performance Engineering & DORA Metrics - Establish DORA metrics as a core performance discipline - Improve deployment frequency and reduce lead time for changes - Lower change failure rate through automation and test rigor - Increase release confidence across cloud services - Provide transparent engineering performance reporting to leadership You will treat engineering performance as measurable, improvable, and strategic. AI-Enabled Engineering - Champion adoption of AI-powered development tools (GitHub Copilot, Cursor, Cloud Code, emerging AI assistants) - Define responsible usage guardrails and best practices - Increase productivity through AI-assisted coding, debugging, and test generation - Measure and demonstrate the impact of AI adoption on velocity and quality AI is a force multiplier — not an experiment. Modern Test Automation & Quality - Drive strong automation across unit, integration, and end-to-end testing - Implement shift-left testing principles - Reduce manual regression processes - Embed production observability into quality validation - Raise engineering discipline around release confidence Cloud Architecture - Define architectural standards and guardrails - Prevent service sprawl and architectural drift - Ensure scalable, cost-efficient cloud design - Align cloud architecture with long-term product and business strategy - Support both enterprise-grade and high-scale consumer use cases ... (truncated, view full listing at source)
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