--- title: 'Staff Full-Stack Engineer - Data Intensive Web-Applications - Personalization at BEES' canonical: 'https://feeny.ai/job/staff-full-stack-engineer-data-intensive-web-applications-personalization-bees-4t9vk5ap66pp' type: 'job' last_seen: '2026-10-17' --- # Staff Full-Stack Engineer - 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/8858698002 ## 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 AB InBev Growth Group Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world. In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft. We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities. About the Role: As a Staff Full Stack Engineer (Backend Focus), you will build and operate the backend of a Web Analytics and AI portal. That includes the APIs that serve the application, the read data layer over analytical data, authentication and authorization, and the integration points with the services the rest of the team builds. The portal gives commercial intelligence to the people who make business decisions, through daily briefings, customizable KPIs, analytical insights, geographic exploration, and conversational analytics. This is a Staff (L6), hands-on individual contributor role on a lean team where everyone is Staff: a Staff Architect, Staff AI Engineers, Staff Software Engineers, and Data Engineers. Architectural direction sits with the Staff Architect, and the AI Engineers own the agents. You are the builder: you take features from the design doc to production, end to end, and you make them fast, observable, and reliable. Most of your time goes to writing, reviewing, and operating code, including the user interface when the delivery calls for it. What you'll do: Build the backend and ship features end to end - Design, implement, test, and operate backend services against explicit latency, availability, and cost targets. - Implement typed, versioned API contracts and evolve them without breaking clients. - Own authentication, authorization, and multi-tenant access control across the portal. - Ship features end to end, from the API to the interface, when the delivery calls for it. - Integrate the application with internal services, including the agent services built by the AI Engineers. This covers response streaming, timeouts, cancellation, and partial failures. Own the read path and performance - Own the read path over analytical data: data modeling, query plans, pagination, batching, caching, and consistency trade-offs. - Set and defend performance budgets. Profile services, reduce tail latency (p95, p99), and optimize cost per request. - Run load and capacity tests before launches, and use the results to make design decisions. Make systems observable and reliable - Instrument services with metrics, structured logs, and distributed tracing from day one. - Define SLIs and SLOs, alerts, and dashboards for the components you own, and take part in on-call. - Diagnose and fix reliability issues, and lead incident response and blameless postmortems. - Establish safe rollout practices: feature flags, canary releases, and fast rollback. Design and raise the bar - Write design docs for the components you deliver, compare alternatives with data and prototypes, and escalate risk to the Staff Architect. - Raise the team's technical bar through code review, pairing, and standards for testing, observability, and safe rollout. - Use coding agent harnesses such as Cursor, Claude Code, and Codex as part of your workflow, and review generated code against tests, types, and contracts. 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. - Relevant experience designing, building, and operating distributed backend services in production, across coding standards, code review, build, automated testing, deployment, and operations. - A track record of building features end-to-end and owning them in production. - Relevant experience in software design for reliability and scale, on both new and existing systems. - Deep command of at least one high-performance language, such as Java/Kotlin, Go, Rust, C++, or C#, including its memory model, concurrency model, and runtime. - Ability to work productively in Python, the language of the current services. - Hands-on experience with observability in production: metrics, tracing, logging, SLOs, and tools such as OpenTelemetry, Datadog, Grafana, or Prometheus. - Proven experience with performance work: profiling, query optimization, caching strategies, and load testing. - Production depth in distributed systems: timeouts, retries, idempotency, partial failure, streaming (SSE, WebSockets), and decisions based on tail latency (p95, p99). - Relevant experience delivering full stack to production with TypeScript and a modern web framework. - Day-to-day fluency with coding agent harnesses such as Cursor, Claude Code, and Codex, including critical review of generated code. - Clear written and verbal communication, with the ability to discuss architecture and trade-offs in depth. - Advanced communication in English; Spanish is a plus. Nice to have: - Experience with serving layers for analytical data (OLAP, columnar stores, semantic layers) or with data platform integration. - Experience integrating applications with LLM or agent services as a consumer. - Experience with B2B, multi-country, or multi-tenant products. - Experience with cloud (Azure, AWS, or GCP), containers, and Kubernetes. More about you: - You are a builder: you like taking a feature from a blank page to production and owning it from then on. - You spend most of your time writing, reviewing, and operating code. - You treat observability and performance as part of the feature, not something added afterward. - You influence architecture with evidence: measurements, prototypes, and explicit trade-offs. - You go from the API to the interface when the feature needs it. - You use tests, types, and contracts as the guardrails for your code and for generated code. - You work well on a staff-level team where everyone operates what they ship. 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: AB InBev 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, AB InBev 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.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 Software Architect - Data Intensive Web-Applications - Personalization](https://feeny.ai/job/staff-software-architect-data-intensive-web-applications-personalization-bees-1nerhzz7g2fz) — 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