Site Reliability Engineer - Alpharetta, GA - ONLY LCOALS

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Rohit pal

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Jul 10, 2026, 12:44:39 PM (2 days ago) Jul 10
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Hi Vendors,


Job Title: Site Reliability Engineer (SRE) – GCP & AI

Location: Alpharetta, GA 
Duration: 6 Months
Interview Process:  in-person interview within 24 hours' notice.

Client - TCS

Job Summary

We are seeking an experienced Site Reliability Engineer (SRE) with strong expertise in Google Cloud Platform (GCP) and exposure to AI/ML technologies, including Vertex AI and Agentic AI solutions. The ideal candidate will have hands-on experience managing cloud-native applications, improving platform reliability, resolving high-priority production incidents, and implementing monitoring and automation solutions in enterprise environments.

Key Responsibilities

  • Design, implement, and support highly available, scalable, and reliable applications on Google Cloud Platform (GCP).
  • Monitor, troubleshoot, and resolve production issues while ensuring high availability and optimal system performance.
  • Lead and manage high-priority incidents, perform root cause analysis (RCA), and implement preventive measures.
  • Reduce alert fatigue by optimizing monitoring, logging, and observability platforms.
  • Deploy, manage, and maintain containerized workloads using Kubernetes (GKE), Docker, and Helm.
  • Build and maintain CI/CD pipelines and automate operational tasks to improve system reliability.
  • Work with Vertex AI for model training, deployment, and AI pipeline management.
  • Collaborate with AI/ML teams to support Agentic AI assistants and AI-driven applications.
  • Develop automation scripts and infrastructure improvements to enhance operational efficiency.
  • Partner with cross-functional engineering teams to improve application reliability, scalability, and performance.

Required Skills

  • 6–8 years of experience in Site Reliability Engineering (SRE), DevOps, or Cloud Engineering.
  • Strong hands-on experience with Google Cloud Platform (GCP).
  • Experience with:
    • Google Kubernetes Engine (GKE)
    • Kubernetes
    • Docker
    • Helm
    • Pub/Sub
    • BigQuery
    • Spanner
    • Dataflow
    • Firestore
  • Hands-on experience with Vertex AI for model training and AI pipeline deployment.
  • Experience working with Agentic AI assistants or AI-powered automation solutions.
  • Strong experience in production support and incident management for mission-critical applications.
  • Experience implementing monitoring, observability, and alert optimization strategies.
  • Strong troubleshooting, debugging, and root cause analysis skills.
  • Excellent communication and collaboration skills.

Thanks 


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