Key Requirements:
• Strong experience in Google Cloud Platform (GCP) and CI/CD pipeline development.
• Hands-on expertise in DevOps tools, automation, and deployment orchestration.
• Experience with AI/Agentic solutions, AI agents, or conversational AI platforms.
• Preferred: Experience with CXAS, Dialogflow, or similar customer experience / conversational AI technologies.
• Knowledge of integrating AI-driven workflows with cloud-native applications.
Nice to Have:
• Experience building, deploying, or supporting agent-based AI solutions.
• Exposure to GenAI, chatbots, or customer experience platforms.
**Overall Profile: Looking for a DevOps Engineer with strong GCP and pipeline expertise, complemented by experience in AI agents, CXAS, Dialogflow, or other agentic AI technologies.
Experience level : 8+ years
• AWS Expertise: 5+ years of hands-on experience with AWS services, specifically EKS, VPC, IAM, ECR, and Load Balancers
• Kubernetes: Strong proficiency in Kubernetes architecture, administration, and troubleshooting
• Istio Service Mesh: Practical experience installing and configuring Istio on Kubernetes/EKS
• GitLab CI/CD: Proven experience building and maintaining GitLab pipelines with multi-stage deployments
• Infrastructure as Code: Proficiency with Terraform
• Containerization: Expert knowledge of Docker and container best practices
• Scripting: Strong scripting skills in Bash, Python
• Networking: Solid understanding of networking concepts, DNS, load balancing, and security groups
• Flexible to support the release schedule/time
• Gemini Enterprise (GECX) knowledge and work experience in Contact Center IVR space is preferred
*Existing/ex-Charter contractors/FTE needs 6 months cooling period as per SoW.
*Add LinkedIn profile in the resume for better pre-screening (with candidate consent)
*4 days/week in client office is mandatory. Remote is not an option. Flexible to work during offshore overlapping hours in the morning