GCP DevOps Engineer

Infosys Pontoon • Charlotte, NC

1d

About The Position

The GCP DevOps Engineer will build and maintain CI/CD pipelines and Google Cloud Platform infrastructure, supporting cloud-based systems and deployments. The role requires experience with GCP services, Infrastructure as Code, scripting, containers, orchestration, and source control. The engineer will collaborate across engineering, product, and conversational AI/NLU teams and work with conversational AI or contact-center platforms. The position is listed as a six-month engagement in Charlotte, North Carolina.

Requirements

• 2–5 years of experience in DevOps, Site Reliability Engineering, or Cloud Engineering roles, or an equivalent combination of education and experience.
• At least 2 years of hands-on experience building and maintaining CI/CD pipelines, such as with Cloud Build, Jenkins, GitLab CI/CD, GitHub Actions, or ArgoCD.
• At least 2 years of experience with 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.
• Working knowledge of Docker and Kubernetes/GKE.
• Working knowledge of Git, GitHub, or GitLab.
• Foundational understanding of conversational AI/contact-center platforms, such as 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.

Nice To Haves

• Google Cloud certification, such as 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, such as 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).

Responsibilities

• Build and maintain CI/CD pipelines.
• Work with Google Cloud Platform services and cloud infrastructure.
• Use Infrastructure as Code tools to provision and manage infrastructure.
• Collaborate with engineering, product, and conversational AI/NLU teams.
• Support deployment and integration of conversational AI or contact-center platforms.

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed