• 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.

Role Description We're placing a Senior Backend & Infrastructure Engineer with a confidential AI-powered FinTech client approaching enterprise rollout. This is a pure infrastructure and security role — you own the architecture that keeps sensitive financial data secure, the systems that stay up when enterprise clients depend on them, and the integrations that connect LLM pipelines to ERP data without leaking either. The platform is past the prototype stage. They need someone who's built production-grade backend systems at scale, not someone who will learn on the job. Responsibilities - Define and own the high-level infrastructure strategy on AWS — uptime, scalability, and performance are your metrics. - Architect secure, resilient backend workflows capable of supporting enterprise-level client deployments on a platform handling sensitive financial data. - Implement and enforce security frameworks across all system layers — encryption, network isolation, access controls, compliance boundaries. - Design and lock down secure data flows between MCP servers and third-party ERP integrations. - Own the Postgres infrastructure — schema design, query optimization, scaling strategy, and backup integrity. - Integrate directly into the client engineering team with full support from Bolder's design, DevOps, and QA network. Qualifications - Senior backend track record. You've architected distributed, enterprise-grade backend systems in production — not prototypes, not internal tools. You can point to something that ran at scale, stayed up, and handled real data without incident. - Deep AWS expertise. You provision, scale, and secure infrastructure in AWS hands-on. VPCs, IAM, ECS or EKS, RDS, Secrets Manager, CloudWatch — you've used them in anger, not just in tutorials. You know what the AWS Well-Architected Framework says and where to deviate from it. - PostgreSQL at scale. Expert-level fluency with Postgres — schema design, indexing strategy, query optimization, migrations, connection pooling, replication. You don't write queries you haven't profiled. - Security specialist. Secure communication protocols, data encryption at rest and in transit, network isolation, multi-server environment management. In a FinTech context, you treat security as architecture, not an afterthought bolted on before launch. - MCP and integration security. You understand how Model Context Protocol servers communicate and where the attack surface lives. You've thought about securing LLM-to-system boundaries, not just API-to-API ones. - AI and data integration fluency. Exposure to LLM orchestration pipelines, automated code generation systems, or ERP data sync tooling. You don't need to have built a custom LLM harness, but you need to understand what's happening inside one well enough to secure it. - Proactive communicator. You flag infrastructure risks before they become incidents. You document decisions. You don't go quiet between check-ins and resurface with surprises. Requirements - Fully remote. - Target start date of early August 2026 — defined scope, no ambiguity on timing. - Direct access to engineering leadership with no PM layers between you and the decisions. - Tooling budget for infrastructure, security tooling, and monitoring. - A peer network of senior engineers and agentic builders across Bolder's client portfolio.