Google Cloud DevOps Engineer (GCP DevOps Engineer)

Company : Cynosure Corporate Solutions

Job Type : Full Time

Chennai, India

Job Description - Google Cloud DevOps Engineer (GCP DevOps Engineer)

Key Responsibilities:

Design, implement, and manage end-to-end application DevOps pipelines

Build and maintain CI/CD pipelines using Azure DevOps for automated deployments and releases

Manage Development, Staging, and Production environments with rollback and release strategies

Deploy, monitor, and scale applications on Google Cloud Platform (GCP)

Containerize applications using Docker and orchestrate workloads using Kubernetes (GKE preferred)

Implement Infrastructure as Code (IaC) using Terraform

Manage IAM roles, permissions, and cloud security best practices in GCP

Configure and manage API gateways, rate limiting, logging, and monitoring solutions

Deploy and manage AI agents and AI-powered applications in production environments

Support AI/ML pipelines including LLM configuration, model deployment, and inference workflows

Configure and manage Google AI Studio environments

Monitor infrastructure and application performance to ensure high availability and reliability

Troubleshoot deployment, infrastructure, and production issues proactively

Collaborate with development and AI/ML teams for seamless delivery and integration

Support distributed systems and cloud-native architecture initiatives

Required Skills & Qualifications:

3+ years of hands-on experience in Google Cloud Platform (GCP) DevOps environments

Strong experience managing live production deployments and cloud infrastructure in GCP

Expertise in Azure DevOps and CI/CD pipeline implementation

Strong knowledge of Docker and Kubernetes (GKE preferred)

Hands-on experience with Terraform and Infrastructure as Code practices

Experience managing cloud networking, IAM, security policies, and access controls

Knowledge of monitoring, logging, and observability tools

Experience configuring API gateways, rate limiting, and cloud-native services

Hands-on exposure to AI agents, AI/ML pipelines, and model deployment workflows

Experience working with Google AI Studio and LLM configurations

Strong troubleshooting, analytical, and problem-solving skills

Understanding of distributed systems and high-availability architecture

Good communication and collaboration abilities

Preferred Skills:

Experience with AI/ML production environments and inference pipelines

Familiarity with cloud-native DevOps practices and automation

Exposure to scalable microservices architecture

Experience handling large-scale production workloads

Immediate joiners preferred

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Google Cloud DevOps Engineer (GCP DevOps Engineer)

Job Description - Google Cloud DevOps Engineer (GCP DevOps Engineer)

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