AB InBev - Staff Software Architect - Data Intensive Web-Applications - Personalization
Requirements
• Bachelor's degree in computer science, engineering, mathematics, or another quantitative field. A master's degree or PhD is a plus. • Experience as a Staff Engineer, Principal Engineer, Software Architect, or equivalent, designing and shipping large-scale, high-performance web applications and backend systems. • Proven system design at production scale: service boundaries, data flow, consistency, failure modes, and the ability to defend those choices with trade-offs, not slides. • Deep, hands-on Java, plus Go and/or Python where they fit the problem. • TypeScript, React, and Next.js, enough to shape and contribute to the web application. • Microsoft Azure in production, API and integration design, and distributed systems (queues, events, idempotency, consistency, resilience, and fault tolerance). • Strong SQL, data modeling, and query optimization, plus NoSQL, caching, and search — with a track record of making data-heavy UIs and APIs fast (latency, throughput, pagination, aggregation, cache strategy). • Automated testing, CI/CD, containers, Kubernetes, infrastructure as code, and production diagnosis with logs, metrics, and traces. • Plus: Analytics or BI products, conversational interfaces, multi-tenant systems, Domain-Driven Design, feature flags, and progressive delivery.
Responsibilities
• Lead the system design and hands-on delivery of a data-intensive web product on Microsoft Azure. You own how the application is shaped end to end — services, APIs, the Next.js layer, integrations, security, and how it behaves under load. • This role is defined by two things: designing the system and shipping a performant application. You write the code for the most critical paths and own them from design through production. Architecture without implementation, or features that do not hold latency, throughput, and cost targets, is not the job. • Design how the product queries, processes, and presents large volumes of data — modeling, SQL performance, caching, pagination, aggregation, search, and asynchronous processing — and ship dashboards, reports, and data exploration on top of existing data platforms. Every design choice is judged by whether the product stays fast, correct, and operable as data volume and concurrency grow. • Choose and document the system shape (modular monolith, microservices, synchronous, or event-driven) against performance, consistency, security, cost, and operational complexity. You make the trade-offs explicit, including when a simpler design is enough. • Set standards for authentication and authorization, observability, automated testing, code review, and continuous delivery, using AI-assisted engineering as part of how the team builds. Partner with the teams that own ingestion, pipelines, and the data platform. You own how the application queries, secures, and serves that data at production performance.
Benefits
• Performance based bonus* • Attendance Bonus* • Private pension plan • Casual office and dress code • Health, dental, and life insurance • Medicines discounts • WellHub partnership • Childcare subsidies • Discounts on Ambev products* • Clube Ben partnership • School materials assurance • Language and training platforms • Transport allowance • Equal Opportunity & Affirmative Action:
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