DevOps with Agentic AI

5+ years of IT experience with 3 + years dedicated to building Generative AI applications. Design, build, and maintain complex multi-agent workflows using frameworks like LangGraph or Vertex AI Agent Builder to handle multi-step business logic. Proven experience with core GCP services Compute Engine, Google Kubernetes Engine (GKE), Cloud Run, BigQuery, and Google Cloud Storage. Hands-on mastery of Google Cloud Agent Developer Kit (ADK). Securely connect AI agents to cloud data warehouses and operational databases like BigQuery and AlloyDB using the Model Context Protocol (MCP). Discover, test, customize, and deploy enterprise foundation models (Gemini Flash/Pro/Ultra) and open-source models using Vertex AI. Deploy parameter-efficient fine-tuning (PEFT), prompt pipelines, and few-shot learning strategies to optimize model accuracy, latency, and context window efficiency. Deploy event-driven automations using GCP Cloud Run, Cloud Functions, and Workflows triggered by Pub/Sub events or data mutations. Experience with containerization and orchestration using Docker and Google Kubernetes Engine (GKE) or Cloud Run. Advanced proficiency in Python (async programming, FastAPI, OOP) and SQL.

Qualifications

Mandatory Skills - include mandatory experience with any GenAI.

5+ years of IT experience with 3+ years in cloud infrastructure roles.
Strong hands-on expertise with Google Cloud Platform (GCP) — mandatory.
Deep knowledge of GCP networking: VPC, Shared VPC, Cloud NAT, PSC, Cloud Interconnect, Cloud VPN.
Proficiency in Terraform for GCP infrastructure provisioning and state management.

Key Responsibilities
Maintain CI/CD pipelines using GitHub actions, Cloud DevOps, Terraform, and Helm
Use Terraform/ARM templates to provision AKS clusters and related Cloud resources
Manage offshore team delivery and resolve technical queries
Organizing kick-offs for migrations of applications from On-Prem to Cloud
Demonstrates resilience and focus under tight deadlines
Ability to work well effectively with team-members with effective interpersonal, verbal and written communication skills
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Required Qualifications
Hands on DevOps tools experience including GitHub, Terraform, Ansible.
Experience on Application Migration from DC to DC or DC to Public Cloud or Cloud to Cloud.
Experience on Kubernetes Platform, Helem charts.
Experience on any of the public cloud as DevOps engineer and good to have experience on Cloud.
Good to have Application Architecture and Microservices Architecture
Automate infrastructure provisioning and deployments using Infrastructure as Code (IaC) tools like Terraform and Ansible.
Strong multi-cloud service knowledge
Proficiency in scripting (Python, Bash, Shell)
Good knowledge on Yaml, Terraform, Ansible, Jenkins, GitLab, CI/CD.
Familiarity with containerization (Docker, Kubernetes)
Hands-on experience in .NET/Java/Python will be added advantage
Troubleshoot and resolve issues related to cloud infrastructure and services.
Knowledge of security best practices and tools for cloud environments.