Site Reliability Engineer (GCP SRE) - AI

We are seeking an experienced Google Cloud Site Reliability Engineer (GCP SRE) with expertise in Google Cloud Platform (GCP), Site Reliability Engineering, Kubernetes, and AI/ML platforms. The ideal candidate will be responsible for ensuring the reliability, scalability, availability, and operational excellence of cloud-native applications while supporting Vertex AI, Agentic AI solutions, and large-scale production environments. The candidate should have strong experience in incident management, production support, cloud monitoring, and Kubernetes-based deployments, with the ability to reduce operational noise through proactive observability and automation. Key Responsibilities

• Design, deploy, and support highly available applications on Google Cloud Platform (GCP).
• Maintain production reliability and uptime following SRE principles.
• Monitor cloud infrastructure and applications using observability tools.
• Lead P1/P2 incident management, root cause analysis (RCA), and post-incident reviews.
• Implement automation to reduce operational overhead and monitoring noise.
• Deploy and manage Kubernetes workloads on Google Kubernetes Engine (GKE).
• Build and maintain CI/CD pipelines for cloud-native applications.
• Support Vertex AI model training, deployment, and inference pipelines.
• Collaborate with AI/ML engineers to operationalize machine learning solutions.
• Work with Agentic AI assistants and AI-driven automation workflows.
• Optimize cloud infrastructure performance, scalability, and cost.
• Implement security, governance, and best practices across GCP environments.
• Participate in on-call support and production incident rotations.

Required Technical Skills Google Cloud Platform

• Google Cloud Platform (GCP)
• Google Kubernetes Engine (GKE)
• Pub/Sub
• BigQuery
• Cloud Spanner
• Dataflow
• Firestore
• Vertex AI

Site Reliability Engineering

• Site Reliability Engineering (SRE)
• Production Support
• Incident Management
• Root Cause Analysis (RCA)
• High Availability
• Disaster Recovery
• Performance Monitoring
• Reliability Engineering

Containers & DevOps

• Kubernetes
• Docker
• Helm
• CI/CD
• Git
• Jenkins / GitHub Actions (Preferred)

AI / ML

• Vertex AI
• Machine Learning Pipelines
• Model Deployment
• Agentic AI
• AI Assistants
• LLM Operations (Preferred)

Monitoring & Observability

• Prometheus
• Grafana
• Cloud Monitoring
• Cloud Logging
• Alerting
• Monitoring Optimization

Programming

• Python
• Bash/Shell Scripting
• YAML

Preferred Skills

• AWS (EC2, S3, Lambda)
• Terraform
• Infrastructure as Code (IaC)
• Anthos
• Service Mesh (Istio)
• GitOps
• ArgoCD
• AI/ML Operations (MLOps)
• DevSecOps, * Google Cloud Platform (GCP)
• Kubernetes (GKE)
• Docker
• Helm
• Pub/Sub
• BigQuery
• Cloud Spanner
• Dataflow
• Firestore
• Vertex AI
• Incident Management
• Site Reliability Engineering (SRE)
• Monitoring & Observability
• Root Cause Analysis (RCA)
• Agentic AI
• AI Assistants

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
• 6-8 years of experience in Site Reliability Engineering or Cloud Operations.
• Strong hands-on experience with Google Cloud Platform.
• Excellent troubleshooting, communication, and production support skills.

Bright Vision Technologies + Cumming, GA + $100,000-150,000 per year Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations… + 1 day ago