--- title: 'Staff Software Architect - Data Intensive Web-Applications - Personalization at BEES' canonical: 'https://feeny.ai/job/staff-software-architect-data-intensive-web-applications-personalization-bees-1nerhzz7g2fz' type: 'job' last_seen: '2026-10-17' --- # Staff Software Architect - Data Intensive Web-Applications - Personalization at BEES - **Company:** BEES - **Location:** Campinas São Paulo, Brazil - **Posted:** 2026-10-02 - **Last confirmed live:** 2026-10-17 - **Apply:** https://job-boards.greenhouse.io/bees/jobs/8858918002 ## Job description ## 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. - 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. More about you: - You combine architectural judgment with implementation and stay close to the code. You treat system design and performance as first-class product work, not afterthoughts. - You make pragmatic trade-offs and choose the simpler design when it is enough — and you do not ship a design that cannot meet its performance envelope. - You explain risks, decisions, and limits clearly to technical and business audiences. You raise the team’s quality through example, review, and collaboration, including when requirements are incomplete. What We Offer: - Performance based bonus* - Attendance Bonus* - Private pension plan - Meal Allowance - Casual office and dress code - Days off* - Health, dental, and life insurance - Medicines discounts - WellHub partnership - Childcare subsidies - Discounts on Ambev products* - Clube Ben partnership - Scholarship* - School materials assurance - Language and training platforms - Transport allowance *Rules applied Equal Opportunity & Affirmative Action: ABI Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. The following fields are optional, but anticipate the information for your registration*. Remember: your data will never be used as elimination criteria in selection processes. With them, ABI Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company. For more information: [www.bees.com](http://www.bees.com) and [www.abinbev.com](http://www.abinbev.com) ## About BEES ## Company Overview - **One-liner**: BEES is a global B2B digital commerce platform that connects retailers, brand owners, and distributors through an AI-powered ecosystem spanning ordering, delivery, payments, and insights. - **Entity Type**: Private (spin-off from AB InBev, co-created with Ambev) - **Headquarters**: Rotkreuz, Zug, Switzerland - **Founded**: 2020 (as a digital-first venture from AB InBev) - **Founders**: Co-created by AB InBev and Ambev (individual founder names not publicly disclosed) ## Core Business - **Primary industry**: B2B digital commerce platform; IT Services and IT Consulting (per LinkedIn) - **Target customers**: Small and medium-sized retailers (B2B), brand owners (fast-moving consumer goods), distributors - **Mission statement**: Making commerce better for retailers and sellers around the world ([bees.com/about](https://www.bees.com/about?noredirect=1)) ## Products & Services - **BEES Ordering**: AI-personalized shopping experience for retailers, with rewards and recommendations ([bees.com](https://www.bees.com/)) - **BEES Deliver**: Optimizes delivery territories, routes, and on-time execution for distributors - **BEES.ai**: Intelligence layer that transforms data from every touchpoint into smarter selling, execution, and planning - **BEES One**: Unified mobile app for retailers covering ordering, rewards, and remote sales support - **BEES Care**: Customer service solution with agent guidance and fast resolution - **Integrated Payments**: Flexible checkout options and operational efficiency tools - **Data Connect**: Delivers datasets directly into client systems for better commercial decisions - **Frontline Effectiveness Services**: Field performance optimization with AI-powered territory planning - **Integrated Marketing Campaigns**: Coordinated online/offline marketing during key selling moments ## Market Standing - **Valuation / Market Cap**: Not publicly available (private entity) - **Key Metrics**: - $15B GMV in Q1 2026 ([bees.com](https://www.bees.com/)) - 36M orders placed in Q1 2026 - 500+ sellers on platform - 200+ brand partners; $49B in annual orders through platform (2024) ([bees.com/about](https://www.bees.com/about?noredirect=1)) - **Notable Investors / Partners**: AB InBev and Ambev are the founding backers; portfolio includes 500 iconic brands (e.g., Budweiser, Stella Artois) - **Growth Signals**: - Active in 28 countries as of 2024 - Headcount: 468 employees (+2.3% YoY; +19 people); 32 active job postings (+966.7% YoY) - Geographical expansion into Africa, APAC; new HQ in Switzerland; offices in Hong Kong, New York, Brazil ([linkedin.com/company/beesb2b](https://www.linkedin.com/company/beesb2b)) ## Competitive Advantages - **Built on AB InBev’s expertise**: Decades of sales and distribution know-how embedded in the platform - **Direct retail network**: Access to 6+ million small and medium retailers worldwide - **AI-powered ecosystem**: BEES.ai connects all touchpoints (ordering, delivery, payments, service) for a single route-to-market view - **Multi-product offering**: Tailored solutions for retailers, brand owners, and distributors within one platform ## Strategic Focus - **Global expansion**: Continuing to enter new markets in Africa and APAC - **AI-first transformation**: Deploying AI to personalise recommendations, optimise logistics, and improve commercial execution - **Deepening partner ecosystem**: Onboarding more brand owners and third-party distributors to digitise route-to-market - **Scaling payments**: Expanding integrated payment solutions to drive operational efficiency ## Why Work Here - **Culture**: "We dream big, lead with purpose" – values include "We thrive when the customers thrive", "We put the hive first", "We deal in data not hype", "We are drawn to growth", "We buzz with passion" ([builtin.com/company/bees](https://builtin.com/company/bees)) - **Work location**: Onsite-first – physical offices in Zug (Switzerland), New York (USA), São Paulo, Campinas (Brazil), and Hong Kong (China) - **Perks & benefits**: Health insurance, dental, family medical leave, generous parental leave, performance bonuses, employee discounts, tuition assistance, apprenticeship programs, legal assistance - **Diversity, Equity & Inclusion**: Offers diversity-based Employee Resource Groups - **Engineering culture**: 137 technical staff (16% of total 468) across roles in product, analytics, engineering, and data science ([linkedin.com/company/beesb2b](https://www.linkedin.com/company/beesb2b)) - **Company rating**: 3.3/5 on LinkedIn (641 reviews) – Work-Life 3.2, Compensation 3.5, Culture 3.1, Career 3.2 ## Sources 1. [bees.com – Careers](https://www.bees.com/careers) 2. [bees.com – About](https://www.bees.com/about?noredirect=1) 3. [bees.com – Home](https://www.bees.com/) 4. [linkedin.com/company/beesb2b](https://www.linkedin.com/company/beesb2b) 5. [builtin.com/company/bees](https://builtin.com/company/bees) ## Other roles at BEES - [Senior Product Designer, Design Systems](https://feeny.ai/job/senior-product-designer-design-systems-bees-campinas-sao-paulo-ndqw65gmfyyf) — Campinas São Paulo, Brazil - [Global Business Analyst Sales Insights](https://feeny.ai/job/global-business-analyst-sales-insights-bees-sao-paulo-pmcsh3sqq1wa) — São Paulo, Brazil - [Intermediate Java Developer](https://feeny.ai/job/intermediate-java-developer-bees-campinas-sao-paulo-mtsfvyw2bwnd) — Campinas São Paulo, Brazil - [Lead Data Engineer](https://feeny.ai/job/lead-data-engineer-bees-campinas-sao-paulo-9pa8p6drjapx) — Campinas São Paulo, Brazil - [AI Engineer](https://feeny.ai/job/ai-engineer-bees-campinas-sao-paulo-xhjam9p6a5yk) — Campinas São Paulo, Brazil - [Staff Full-Stack Engineer - Data Intensive Web-Applications - Personalization](https://feeny.ai/job/staff-full-stack-engineer-data-intensive-web-applications-personalization-bees-4t9vk5ap66pp) — Campinas São Paulo, Brazil - [Intermediate Quality Assurance (QA)](https://feeny.ai/job/intermediate-quality-assurance-qa-bees-campinas-sao-paulo-8fgdsc4aqfsw) — Campinas São Paulo, Brazil - [Senior Manager Developer](https://feeny.ai/job/senior-manager-developer-bees-campinas-sao-paulo-vsejwk5hr2ta) — Campinas São Paulo, Brazil - [Senior Data Scientist - Generative AI](https://feeny.ai/job/senior-data-scientist-generative-ai-bees-campinas-sao-paulo-s7fmwyhtwep9) — Campinas São Paulo, Brazil - [Senior Java Developer](https://feeny.ai/job/senior-java-developer-bees-campinas-sao-paulo-153hgdxem0sb) — Campinas São Paulo, Brazil