11 hours ago
Campinas, BrazilStaff+
Responsibilities
- Design, implement, test, and operate backend services against latency, availability, and cost targets.
- Build typed, versioned API contracts and evolve them without breaking clients.
- Own authentication, authorization, and multi-tenant access control across the portal.
- Ship end-to-end features from APIs to the user interface when required.
- Integrate the application with internal services, including agent services, with response streaming, timeouts, cancellation, and partial-failure handling.
- Own analytical read paths, including data modeling, query planning, pagination, batching, caching, and consistency trade-offs.
- Profile services, reduce tail latency, optimize cost per request, and conduct load and capacity testing.
- Implement metrics, structured logging, distributed tracing, SLIs, SLOs, alerts, dashboards, safe rollouts, feature flags, canary releases, and rollback procedures.
- Diagnose reliability issues, participate in on-call, and lead incident response and blameless postmortems.
- Write design documents, evaluate alternatives with data and prototypes, review code, pair with teammates, and raise standards for testing, observability, and rollout safety.
- Use coding agent harnesses and critically review generated code against tests, types, and contracts.
Requirements
- 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, builds, automated testing, deployment, and operations.
- Track record of delivering features end to end and owning them in production.
- Experience designing software for reliability and scale across new and existing systems.
- Deep command of at least one high-performance language such as Java, Kotlin, Go, Rust, C++, or C#, including memory, concurrency, and runtime models.
- 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.
- Experience with profiling, query optimization, caching strategies, and load testing.
- Production depth in distributed systems, including timeouts, retries, idempotency, partial failure, streaming, and tail-latency decisions.
- Experience delivering full-stack software to production with TypeScript and a modern web framework.
- Day-to-day fluency with Cursor, Claude Code, or Codex and critical review of generated code.
- Strong written and verbal communication and ability to discuss architecture and trade-offs in depth.
- Advanced English communication; Spanish is a plus.
- Nice-to-have 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, subject to applicable rules.
- Attendance bonus, subject to applicable rules.
- Private pension plan, meal allowance, health, dental, and life insurance.
- Casual office and dress code, days off, and transport allowance.
- Medicines discounts, WellHub partnership, childcare subsidies, and discounts on Ambev products.
- Clube Ben partnership, scholarship, school materials assurance, and language and training platforms.
Tech Stack
AWSAzureC#C++DatadogGoGoogle Cloud PlatformGrafanaJavaKotlinKubernetesPrometheusPythonRustTypeScript
Categories
About BEES
BEES builds a B2B digital commerce and marketplace platform for small and medium retailers to order products, manage invoices, and track deliveries from AB InBev and partner suppliers. The business supports online ordering, promotions, and data-driven sales tools across 29 countries. Created by and owned by AB InBev, BEES is headquartered in Rotkreuz, Zug, and focuses on digitizing distributor-to-retailer workflows in beverage and adjacent categories.