DevOps Engineer

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.

Do You Dream Big?

We Need You.

Job Title: DevOps Engineer

Location: Bangalore

Reporting to: Senior Manager Analytics

1) Purpose of the role

The Global Gen AI Team at Anheuser-Busch InBev (AB InBev) is tasked with constructing competitive solutions utilizing Gen AI techniques. These solutions aim to extract contextual insights and meaningful information from our enterprise data assets. The derived data-driven insights play a pivotal role in empowering our business users to make well-informed decisions regarding their respective products.

In the role of a DevOps Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure and CI/CD pipelines necessary to support our Generative AI projects. Furthermore, you will have the opportunity to critically assess and influence the engineering design, architecture, and technology stack across multiple products, extending beyond your immediate focus.

2) Key tasks & accountabilities

• Design, deploy, and manage scalable, reliable, and secure Azure cloud infrastructure to support Generative AI workloads.
• Implement monitoring, logging, and alerting solutions to ensure the health and performance of AI applications.
• Optimize cloud resource usage and costs while ensuring high performance and availability.
• Work closely with Data Scientists and Machine Learning Engineers to understand their requirements and provide the necessary infrastructure and tools.
• Automate repetitive tasks, configuration management, and infrastructure provisioning using tools like Terraform, Ansible, and Azure Resource Manager (ARM).
• Utilize APM (Application Performance Monitoring) to identify and resolve performance bottlenecks.
• Maintain comprehensive documentation for infrastructure, processes, and workflows.

3) Qualifications, Experience, Skills

• Academic degree in, but not limited to, Bachelors or Masters in CA, CS, or any engineering discipline.
• Beyond academic degrees, we give more weightage to 5+ years of real-world experience.

Must Have Skills

• Extensive knowledge of Azure services: Kubernetes, Azure App Service, Azure API management (APIM), Application gateway, AAD, GitHub Action, Istio, Datadog.
• Proficiency in containerization and orchestration tools such as (Jenkins, GitLab CI/CD, Azure DevOps)
• Knowledge of API management platforms like APIM for API governance, security, and lifecycle management.
• Expertise in monitoring and observability tools like Datadog, loki, Grafana, Prometheus for comprehensive monitoring, logging, and alerting solutions.
• Good scripting skills (Python, Bash, PowerShell). Experience with infrastructure as code (Terraform, ARM Templates).
• Experience in optimizing cloud resource usage and costs utilizing insights from Azure cost and monitor metrics.

Behavioral skills that matter

• You have bias for action & make right trade-offs between engineering design & solving business needs.
• You take full ownership of your projects & understand end to end expectations.
• You demonstrate thought leadership at work, assert ideas & influence overall direction of solutions.
• Collaborate with team members, share selflessly & improve the quality of code, models etc.
• Ability to simplify communicating the output of your work for business, create compelling documentation or any artifacts that connects business to the solutions.