AB InBev | Growth Group
Support Engineer
About this role
AB InBev's Growth Group seeks a Support Engineer to maintain and optimize services across their global digital platforms, including BEES commerce and delivery apps. You'll collaborate on system design, deployment, monitoring, and incident response while driving operational excellence through automation and observability practices.
What you'll do
- Design, build, deploy and monitor new and existing services with cross-functional teams
- Implement proactive monitoring, alerting, and anomaly detection across systems
- Mitigate production issues through scripts, automation, and infrastructure scaling
- Perform root cause analysis and improve runbooks to prevent future incidents
- Build and evolve change management and release processes
- Define SLOs, error budgets, and capacity planning with operations teams
What they're looking for
- CI/CD tools (Azure DevOps, ArgoCD)
- Kubernetes and Docker containerization
- Cloud platforms (Azure, AWS)
- Monitoring tools (New Relic, DataDog, Grafana)
- Programming languages (Java, Python)
- Message brokers (RabbitMQ, CloudAMQP)
- SRE and Support Engineering methodologies
- Object-oriented design and algorithms
Benefits
- Performance-based bonus and attendance incentives
- Health, dental, and life insurance coverage
- Private pension plan and meal allowance
- Wellness programs (WellHub partnership) and language training
- Childcare subsidies and product discounts
- Flexible, casual work environment with remote options
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AB InBev | Growth Group
AB InBev's Growth Group develops digital commerce and delivery platforms, including BEES, a B2B commerce platform serving retailers and merchants globally. The company is hiring Support Engineers and Java Developers to build and maintain scalable backend services, microservices architecture, and cloud-native systems that power their international operations.
- Website
- ab-inbev.com
Likely interview questions
- Can you walk us through your experience with SRE and Support Engineering methodologies, particularly around defining SLOs and error budgets?
- Describe a time when you had to quickly mitigate a production issue. What tools and techniques did you use, and how did you approach the root cause analysis?