Cloud Infrastructure Engineer (AI/ML Focus)
SplashGain4–7 yrsRemoteDirect career pageEst. 12–22 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Build, deploy, and maintain scalable cloud infrastructure for AI/ML workloads, including real-time video streaming and proctoring platforms.
- Implement and manage AI agent orchestration systems using N8N and other autonomous agent frameworks.
- Design and optimize infrastructure for ML model deployment pipelines, secure network architecture, and high-throughput database workloads.
Minimum Requirements
- 4-7 years of relevant work experience in cloud infrastructure engineering.
- Hands-on experience with major cloud platforms: AWS, GCP, or Azure.
- Proficiency in Infrastructure as Code tools such as Terraform, CloudFormation, or Pulumi.
- Experience with databases including mandatory MS SQL Server plus PostgreSQL, MySQL, MongoDB, or vector databases.
Ideal Candidate Profile
- Expertise deploying and managing autonomous AI agent systems and multi-agent frameworks (Agentic AI).
- Skilled in container orchestration technologies like Kubernetes and AWS ECS/Fargate for scalable production environments.
- Familiarity with comprehensive monitoring, CI/CD pipelines, and security best practices for cloud infrastructure supporting AI/ML workloads.