Job description

Must: Google Customer Engagement AI (CCAI) / Conversational Agents (Dialogflow CX/CXAS) JD Required Qualifications Experience: • 2-5 years of experience in DevOps, Site Reliability Engineering, or Cloud Engineering roles, or an equivalent combination of education and experience • 2+ years of hands-on experience building and maintaining CI/CD pipelines (e.g., Cloud Build, Jenkins, GitLab CI/CD, GitHub Actions, or ArgoCD) • 2+ years of experience with Google Cloud Platform (GCP) services such as GKE, Cloud Run, Cloud Functions, Cloud Build, Pub/Sub, and IAM • Experience with Infrastructure as Code tools such as Terraform or Google Cloud Deployment Manager • Experience with scripting languages such as Python, Bash, or Groovy Education: • BA/BS in Computer Science, Information Technology, or a related field, or equivalent work experience Technical Skills: • Working knowledge of containerization and orchestration technologies (Docker, Kubernetes/GKE) • Working knowledge of source control systems (Git, GitHub, or GitLab) • Foundational understanding of conversational AI/contact-center platforms (e.g., Google CCAI, Dialogflow CX/Conversational Agents, Kore.ai, or similar IVR/voice platforms) Skills: • Understanding of software design patterns, principles, and the software development life cycle (SDLC) • Demonstrated verbal and written communication skills • Ability to collaborate effectively across cross-functional engineering, product, and conversational AI/NLU teams Abilities: • Ability to read, write, speak, and understand English • Ability to deal with ambiguity, uncertainty, and incomplete information when evaluating alternatives and making recommendations • Ability to identify measures or indicators of system performance and the actions needed to improve or correct performance, relative to the goals of the system • Ability to work seamlessly within a team as well as manage individual tasks • Ability to write clear technical documentation for use by developers, testers, and operations Preferred Qualifications • Google Cloud certification (e.g., Professional Cloud DevOps Engineer or Associate Cloud Engineer) • Hands-on experience with Google Customer Engagement AI (CCAI) / Conversational Agents (Dialogflow CX/CXAS), including agent versioning, environments, and deployment • Experience integrating cloud CI/CD pipelines with third-party IVR/contact-center platforms (e.g., Kore.ai) via APIs or webhooks • Familiarity with monitoring/observability tools such as Cloud Monitoring, Datadog, or Grafana • Experience with blue/green or canary deployment strategies for customer-facing production systems • Knowledge of security and compliance practices for cloud-hosted customer support systems that process personally identifiable information (PII)

Requirements

Must-haves

Must: Google Customer Engagement AI (CCAI) / Conversational Agents (Dialogflow CX/CXAS)
2-5 years of experience in DevOps, Site Reliability Engineering, or Cloud Engineering roles, or an equivalent combination of education and experience
2+ years of hands-on experience building and maintaining CI/CD pipelines (e.g., Cloud Build, Jenkins, GitLab CI/CD, GitHub Actions, or ArgoCD)
2+ years of experience with Google Cloud Platform (GCP) services such as GKE, Cloud Run, Cloud Functions, Cloud Build, Pub/Sub, and IAM
Experience with Infrastructure as Code tools such as Terraform or Google Cloud Deployment Manager
Experience with scripting languages such as Python, Bash, or Groovy
BA/BS in Computer Science, Information Technology, or a related field, or equivalent work experience
Working knowledge of containerization and orchestration technologies (Docker, Kubernetes/GKE)
Working knowledge of source control systems (Git, GitHub, or GitLab)
Foundational understanding of conversational AI/contact-center platforms (e.g., Google CCAI, Dialogflow CX/Conversational Agents, Kore.ai, or similar IVR/voice platforms)
Understanding of software design patterns, principles, and the software development life cycle (SDLC)
Demonstrated verbal and written communication skills
Ability to collaborate effectively across cross-functional engineering, product, and conversational AI/NLU teams
Ability to read, write, speak, and understand English
Ability to deal with ambiguity, uncertainty, and incomplete information when evaluating alternatives and making recommendations
Ability to identify measures or indicators of system performance and the actions needed to improve or correct performance, relative to the goals of the system
Ability to work seamlessly within a team as well as manage individual tasks
Ability to write clear technical documentation for use by developers, testers, and operations

Nice-to-haves

Google Cloud certification (e.g., Professional Cloud DevOps Engineer or Associate Cloud Engineer)
Hands-on experience with Google Customer Engagement AI (CCAI) / Conversational Agents (Dialogflow CX/CXAS), including agent versioning, environments, and deployment
Experience integrating cloud CI/CD pipelines with third-party IVR/contact-center platforms (e.g., Kore.ai) via APIs or webhooks
Familiarity with monitoring/observability tools such as Cloud Monitoring, Datadog, or Grafana
Experience with blue/green or canary deployment strategies for customer-facing production systems
Knowledge of security and compliance practices for cloud-hosted customer support systems that process personally identifiable information (PII)

Application prep

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Keywords to mirror

aici/cdgcppythondockerkubernetes

Platform: jobdiva
Effort: medium