Cloud Infrastructure Engineer (AI/ML Focus)

4 - 7 years

13 - 17 Lacs

Posted:7 hours ago| Platform: Naukri logo

Apply

Work Mode

Work from Office

Job Type

Full Time

Job Description

  • Design and deploy cloud infrastructure for AI/ML workloads on AWS, GCP, or Azure", "
  • Deploy and manage N8N infrastructure for Agentic AI workflows and autonomous agent orchestration", "Implement auto-scaling infrastructure for video streaming and real-time proctoring services", "
  • Set up ML model deployment pipelines using AWS SageMaker, Google Vertex AI, or Azure ML", "
  • Configure infrastructure for AI agent systems, including N8N, LangChain services, and vector databases", "
  • Configure CDN and edge computing solutions for low-latency video delivery (CloudFront, Cloudflare)",
  • "Implement monitoring and observability using Prometheus, Grafana, ELK Stack, or Datadog", "
  • Design secure network architecture with VPC, security groups, and NAT gateways", "
  • Optimize database performance for high-throughput SQL (MS SQL Server) and NoSQL workloads

Mock Interview

Practice Video Interview with JobPe AI

Start Python Interview
cta

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

coding practice

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now
Splashgain Technology Solutions logo
Splashgain Technology Solutions

Information Technology

Tech City

RecommendedJobs for You