Data Infrastructure Engineer

About the role

MeeBoss is sharing this active opportunity on behalf of Cognistack. The hiring company is seeking an Infrastructure Engineer to build and secure the infrastructure behind an enterprise-grade AI data platform. This role involves solving complex infrastructure challenges related to cloud, Kubernetes, data pipelines, security, and AI workloads within a high-impact, early-stage environment.

What you will do

• Design scalable cloud infrastructure for AI-powered data platforms.
• Build secure private-cloud and Bring Your Own Cloud (BYOC) 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.
• Build 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 transfers supported (OPT / H-1B transfers).

About MeeBoss

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