
10,000+ employees
🏨 Hospitality
📣 Marketing
✈️ Travel
Hospitality • Marketing • Travel
AB InBev is a global brewing company known for its extensive portfolio of over 500 beer brands, including iconic global and local names. Committed to sustainability and responsible drinking, the company has a heritage spanning more than 600 years. AB InBev continually seeks innovation in brewing and serves to celebrate beer as a beverage of moderation.
🔥 45 minutes ago
AWS
Azure
Distributed Systems
Google Cloud Platform
Grafana
Java
Kotlin
Kubernetes
Prometheus
Python
Rust
TypeScript
C++
Go
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10,000+ employees
🏨 Hospitality
📣 Marketing
✈️ Travel
Hospitality • Marketing • Travel
AB InBev is a global brewing company known for its extensive portfolio of over 500 beer brands, including iconic global and local names. Committed to sustainability and responsible drinking, the company has a heritage spanning more than 600 years. AB InBev continually seeks innovation in brewing and serves to celebrate beer as a beverage of moderation.
• Build and operate the backend of a Web Analytics and AI portal • Design, implement, test, and operate backend services against latency, availability, and cost targets • Implement typed, versioned API contracts and evolve them without breaking clients • Own authentication, authorization, and multi-tenant access control • Ship features end to end from API to interface when required • Integrate the application with internal services, including AI-engineer-built agent services, handling response streaming, timeouts, cancellation, and partial failures • Own the analytical-data read path, including data modeling, query plans, pagination, batching, caching, and consistency trade-offs • Set and defend performance budgets; profile services, reduce tail latency, and optimize cost per request • Run load and capacity tests before launches and use results for design decisions • Instrument services with metrics, structured logs, and distributed tracing • Define SLIs, SLOs, alerts, and dashboards; participate in on-call • Diagnose and fix reliability issues; lead incident response and blameless postmortems • Establish safe rollout practices including feature flags, canary releases, and fast rollback • Write design docs, compare alternatives using data and prototypes, and escalate risk to the Staff Architect • Raise the technical bar through code review, pairing, and standards for testing, observability, and safe rollout • Use Cursor, Claude Code, and Codex as part of the workflow and review generated code against tests, types, and contracts
• Bachelor's degree in computer science, engineering, mathematics, or another quantitative field • Relevant experience designing, building, and operating distributed backend services in production, across coding standards, code review, build, automated testing, deployment, and operations • 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 • Hands-on production observability experience with metrics, tracing, logging, SLOs, and tools such as OpenTelemetry, Datadog, Grafana, or Prometheus • Proven performance experience with profiling, query optimization, caching strategies, and load testing • Production depth in distributed systems: timeouts, retries, idempotency, partial failure, streaming (SSE, WebSockets), and tail-latency decisions (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 ability to discuss architecture and trade-offs in depth • Advanced communication in English; Spanish is a plus • Nice to have: experience with OLAP, columnar stores, semantic layers, or data platform integration • Nice to have: experience integrating applications with LLM or agent services as a consumer • Nice to have: experience with B2B, multi-country, or multi-tenant products • Nice to have: experience with Azure, AWS, or GCP, containers, and Kubernetes
• 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
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