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Jobs(26,955)/Full Stack Engineer Role(334)/AB InBev (12) - Staff Full-Stack Engineer - Data Intensive Web-Applications
AB InBev

AB InBev - Staff Full-Stack Engineer - Data Intensive Web-Applications

Remote - Americas3w ago
RemoteStaffNACloud ComputingArtificial IntelligenceFull Stack EngineerStaff EngineerFull StackRustJavaKotlinC++

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, 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. • 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.

Responsibilities

• 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.

Benefits

• Performance based bonus* • Attendance Bonus* • Private pension plan • Casual office and dress code • Health, dental, and life insurance • Medicines discounts • WellHub partnership • Childcare subsidies • Discounts on Ambev products* • Clube Ben partnership • School materials assurance • Language and training platforms • Transport allowance • Equal Opportunity & Affirmative Action:

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