Infrastructure Engineer

About the role

MeeBoss is sharing this active opportunity on behalf of the hiring company. The role involves building and securing infrastructure for an enterprise-grade AI data platform, handling large volumes of sensitive financial data and supporting AI workloads.

What you will do

• Design scalable cloud infrastructure for AI-powered data platforms.
• Build secure private-cloud and BYOC (Bring Your Own Cloud) environments.
• Develop data ingestion pipelines for structured and unstructured data.
• Support LLM inference, AI agents, and ML workloads.
• Build monitoring, alerting, and observability systems.
• Implement access controls, audit trails, and data governance.
• Implement CI/CD and Infrastructure-as-Code across multiple clouds.
• Partner with AI Research and Product teams on platform architecture.

What we are looking for

• 6–10+ years of cloud, infrastructure, platform, or data infrastructure experience.
• Strong experience with AWS, GCP, or Azure.
• Production Kubernetes and containerization experience.
• Strong infrastructure or data-pipeline experience.
• ETL, data ingestion, or distributed processing experience.
• Experience with Datadog or similar observability tooling.
• Security, data governance, or regulated-industry experience.
• Exposure to SageMaker, Bedrock, or other AI infrastructure.
• Startup or high-growth engineering experience.
• Strong ownership and a track record of increasing scope.

Benefits

• Visa transfer support (OPT / H-1B).