Staff Full-Stack Engineer - Data Intensive Web-Applications - Personalization
AB InBev | Growth Group3 hours ago
Responsibilities
- Design, implement, test, deploy, and operate distributed backend services against latency, availability, and cost targets.
- Build typed and versioned API contracts, authentication, authorization, multi-tenant access control, and integrations with internal and AI-agent services.
- Own the analytical data read path, including data modeling, query plans, pagination, batching, caching, consistency, and query optimization.
- Profile services, reduce tail latency, optimize cost per request, and conduct load and capacity testing before launches.
- Implement metrics, structured logging, distributed tracing, SLIs, SLOs, alerts, dashboards, feature flags, canary releases, and rollback practices.
- Participate in on-call, diagnose reliability issues, lead incident response and blameless postmortems, and raise engineering standards through reviews and design work.
- Deliver full-stack features from APIs to the user interface when required, and critically review code generated by coding agent harnesses.
Requirements
- Bachelor's degree in computer science, engineering, mathematics, or another quantitative field is required; a master's degree or PhD is a plus.
- Relevant experience designing, building, and operating distributed backend services in production, including coding standards, code review, automated testing, deployment, and operations.
- Track record of delivering end-to-end features and owning them in production, with experience designing for reliability and scale.
- Deep command of at least one high-performance language such as Java/Kotlin, Go, Rust, C++, or C#, including memory, concurrency, and runtime concepts.
- Ability to work productively in Python and relevant experience delivering full-stack applications with TypeScript and a modern web framework.
- Production observability experience with metrics, tracing, logging, SLOs, and tools such as OpenTelemetry, Datadog, Grafana, or Prometheus.
- Experience with profiling, query optimization, caching strategies, load testing, distributed systems, timeouts, retries, idempotency, partial failure, streaming, and tail-latency analysis.
- Day-to-day fluency with Cursor, Claude Code, Codex, or similar coding agent harnesses, including reviewing generated code against tests, types, and contracts.
- Clear written and verbal communication and advanced English communication skills; Spanish is a plus.
- Preferred qualifications include experience with OLAP, columnar stores, semantic layers, data platform integration, LLM or agent-service integration, B2B or multi-tenant products, cloud platforms, containers, and Kubernetes.
Benefits
- Performance-based bonus, attendance bonus, private pension plan, meal allowance, days off, and transport allowance.
- Health, dental, and life insurance, medicines discounts, childcare subsidies, and school materials assurance.
- WellHub partnership, Clube Ben partnership, discounts on Ambev products, scholarships, and language and training platforms.
- Casual office and dress code.
Tech Stack
AWSAzureC#C++DatadogGoGoogle Cloud PlatformGrafanaJavaKotlinKubernetesPrometheusPythonRustTypeScript
Categories
About AB InBev | Growth Group
AB InBev | Growth Group is the digital product and growth arm of Anheuser-Busch InBev, the Leuven-based public brewer behind Budweiser, Corona, and Stella Artois. It builds and scales platforms such as BEES, a B2B marketplace used by merchants and retailers in over 29 countries, plus supporting data and logistics tools that help route orders and manage inventory. The group’s work underpins AB InBev’s global portfolio of 500+ beverage brands.