Software Architect
Posted 2 Oct 2026
Advertised as “Staff Software Architect - Data Intensive Web-Applications - Personalization ”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
No salary listed for this role.
Field of studyComputer Science, Engineering, Mathematics (or related)
Study levelBachelor's
Study levelMaster's or higher
About us
AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.
About ABI Growth Group
ABI’s Growth Division is the center of innovation and tech development within ABI, which is driving ABI’s growth by developing innovations for the core beer business and creating new hyper-growth tech businesses.
ABI Growth includes the following business lines: BEES (our business-to-business e-commerce and SaaS business, also focused on new technologies), TaDa and Ze Delivery (our direct-to-consumer e-commerce businesses), and several other high-tech divisions, including fintech and venture capital.
What you'll do:
- 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.
What you'll need:
- 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.