• Integrates DevSecOps tools as part of an agile team to achieve Continuous Integration and Continuous Deployment (CI/CD) applications. • Represents the DevOps team for consistent messaging across all phases of complex development projects – including dependencies and blockers. • Builds CI/CD solutions for large enterprises at an Individual Contributor level. • Documents designs and changes to environments in Jira and/or Confluence as a record and to communicate information to other team members. • Works on cross functional self-organizing teams as needed to collaborate in solving IT issues or implementing solutions to program requirements. • Collaborates and communicates with management, internal, and outsourced development partners regarding all aspects of CI/CD and system.

• Lead product strategy across Infrastructure, Reliability, and Developer Productivity, shaping the platforms and systems that help Webflow engineers build, test, deploy, observe, and operate software safely, efficiently, and at scale. • Partner deeply with engineering leadership to set technical roadmaps, align priorities, and make build-versus-buy decisions that improve developer velocity, reliability, and platform leverage. • Help Webflow become an AI-first engineering organization by advancing the tooling, workflows, infrastructure, and engineering harnesses that enable developers and AI-powered systems to build and improve software. • Build a strategy that connects internal engineering infrastructure with customer-facing infrastructure, including cloud capabilities, data residency, custom hosting, and the systems that support enterprise scale. • Strengthen Webflow’s reliability posture by ensuring the right metrics, processes, operating rhythms, and investments are in place to support world-class infrastructure. • Lead a lean, technical PM team as a player-coach, staying close to strategy, technical tradeoffs, prioritization, and execution while building strong alignment across Engineering, Security, Product, Data, and Finance.

• Own the architecture and technical strategy for internal automation systems — defining how the company's tech stack (HRIS, Okta, Salesforce, and others) connects, scales, and stays maintainable • Architect and manage cloud-based infrastructure (AWS, GCP, or Azure) — including compute, networking, storage, and security • Design and automate onboarding/offboarding workflows, including provisioning and deprovisioning access • Own the architecture and lifecycle of internal AI tooling (e.g. Vercel, Supabase, Claude, ChatGPT— from evaluation through deployment, access governance, and deprecation • Ensure proper access controls, least-privilege principles, and audit readiness across systems • Establish CI/CD standards and error-handling patterns for automation systems so they're reliable, observable, and maintainable at scale

• Define corporate technical standards and minimum infrastructure requirements, establishing reference architectures aligned with high availability levels (e.g., Tier III); • Ensure infrastructure projects support operational continuity, business growth and mitigation of systemic risks; • Develop and evolve guidelines aimed at reducing carbon footprint, improving energy efficiency and promoting the rational use of resources; • Lead PUE (Power Usage Effectiveness) improvement initiatives and technological transitions to lower-environmental-impact solutions, such as Lithium Iron Phosphate (LiFePO4) batteries; • Structure and maintain the corporate infrastructure performance indicator (KPI) framework; • Use market benchmarking to set targets for efficiency, power density, physical occupancy and operational resilience; • Evaluate technology trends, management tools (DCIM) and new architectural models that reduce TCO (Total Cost of Ownership) and extend asset life; • Act as an innovation driver, balancing technological maturity, operational risk and financial return; • Conduct medium- and long-term capacity planning, anticipating bottlenecks and saturation points before they reach critical levels (e.g., above 93% load); • Support decisions on expansion, reinforcement or load redistribution based on technical data and growth projections.