Location: Schaumburg, IL – Hybrid
Experience: 8+ Years
Requirement
8+ years of experience in DevOps / Platform Engineering / Cloud Engineering.
Strong hands-on experience with GCP DevOps and Platform Engineering.
Hands-on experience with Gemini / Vertex AI Agent Platform and its offerings.
Experience deploying and managing agentic AI systems on the Agent Platform.
Strong understanding of Agent Engine, resource IDs, agent resources, endpoints, and deployment configurations.
Experience with different ways of deploying agents, including understanding the trade-offs between deployment approaches.
Strong experience with GCP networking, load balancers, traffic routing, ingress/egress, and network security.
Experience developing deployment case studies and real-world deployment stories for agentic AI solutions.
Strong experience with CI/CD, Terraform/IaC, Docker, Kubernetes/GKE, and cloud automation.
Experience with IAM, service accounts, secrets management, monitoring, logging, and observability.
Ability to troubleshoot agent deployment, networking, authentication, infrastructure, and runtime issues.
Experience designing solutions for scalability, high availability, security, performance, and cost optimization.
Nice to Have
Experience with Gemini Enterprise / enterprise agent platforms.
Experience productionizing Generative AI and Agentic AI solutions.
Experience with Vertex AI, Gemini models, Cloud Run, GKE, and Google Cloud Load Balancing.
Experience building automated deployment pipelines for AI/agent workloads.
Experience working in large enterprise environments.
Strong architecture documentation and technical presentation skills.
Visa / Submission Requirements
No Green Card candidates.
Candidates must be able to provide I-94, passport number, and visa copy for submission.
Please include the candidate's current visa status along with the resume.
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