Description

Key Responsibilities

• CI/CD Pipeline Management: Design, build, and maintain CI/CD pipelines using Jenkins, Google Cloud Build, GitLab CI/CD, GitHub Actions, or Argo CD.
• Google Cloud Infrastructure: Provision and manage GCP services, including Google Kubernetes Engine (GKE), Cloud Run, Cloud Functions, Pub/Sub, Cloud Build, and IAM.
• Infrastructure Automation: Automate infrastructure provisioning and configuration using Terraform or similar Infrastructure as Code tools.
• Release and Deployment Management: Coordinate deployments across development, testing, staging, and production environments.
• Deployment Automation: Develop scripts and implement blue-green or canary deployment strategies to minimize downtime and production risks.
• Monitoring and Troubleshooting: Configure monitoring, logging, and alerts using Google Cloud Monitoring, Cloud Logging, Datadog, or similar tools.
• Conversational AI Integration: Support integrations between Kore.ai IVR platforms and Google Conversational Agents/Dialogflow CX, including APIs, webhooks, and telephony transfers.
• Security and Access Management: Work with security teams to manage IAM roles, enforce least-privilege access, and address vulnerabilities.
• Production Support: Troubleshoot CI/CD pipeline failures, deployment issues, and production incidents.
• Documentation and Collaboration: Maintain technical documentation, deployment procedures, architecture diagrams, and operational runbooks. Participate in sprint planning, stand-ups, and on-call support as required.

Required Technical Skills

• DevOps Experience: 2–5 years of experience in DevOps, Cloud Engineering, Site Reliability Engineering (SRE), or a related field.
• Conversational AI Experience: Hands-on experience supporting, deploying, or integrating Gemini Enterprise CX, Google Dialogflow CX, Kore.ai, or similar conversational AI and contact-center platforms.
• Ability to collaborate with cross-functional engineering, QA, security, product, and Conversational AI/NLU teams.
• CI/CD: At least 2 years of hands-on experience building and maintaining CI/CD pipelines using one or more of the following:
• Jenkins, Google Cloud Build, GitLab CI/CD, GitHub Actions, Argo CD
• Google Cloud Platform: At least 2 years of hands-on GCP experience, particularly with GKE, Cloud Run, Cloud Functions, Cloud Build, Pub/Sub, and IAM.
• Infrastructure as Code: Practical experience with Terraform or Google Cloud Deployment Manager.
• Scripting: Experience with Python, Bash, or Groovy.
• Containers and Orchestration: Working knowledge of Docker and Kubernetes/GKE.
• Version Control: Experience with Git, GitHub, or GitLab.
• Conversational AI: Foundational knowledge of Google CCAI, Dialogflow CX/Conversational Agents, Kore.ai, or similar IVR and voice platforms.

Education

Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience

Key Skills

Education

Bachelor's degree