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AB InBev

Staff Full-Stack Engineer – Data Intensive Web-Applications, Personalization

AB InBev

. Build and operate the backend of a Web Analytics and AI portal .

Posted 10/2/2026full-timeRemote • BrazilLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and operating distributed backend services with a focus on reliability, performance, and scalability. Proficient in implementing API contracts, observability practices, and integrating with AI services while ensuring effective communication and collaboration.

Highest-signal resume keywords
Distributed Backend ServicesHigh-Performance Programming LanguagesProduction Observability ToolsAPI Design and ImplementationFull Stack Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
JavaKotlinGoRustC++C#PythonTypeScriptAPI ContractsData Modeling
Soft Skills
Clear CommunicationCollaborationProblem-Solving
Tools & Technologies
OpenTelemetryDatadogGrafanaPrometheusCursorClaude CodeCodexKubernetesAWSAzure
Industry Keywords
Web AnalyticsAI IntegrationMulti-Tenant Access ControlPerformance BudgetsLoad Testing

Tech Stack

Tools & technologies
AWSAzureDistributed SystemsGoogle Cloud PlatformGrafanaJavaKotlinKubernetesPrometheusPythonRustTypeScriptC++Go

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • 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