Mandatory Areas
Must Have Skills GCP DevOps Engineer
Skill 1 5 Years of exp in Google Cloud Platform
Skill 2 10 Years of Exp in DevOps
Skill 3- 6 Years In Experience with containerization (Docker) and orchestration (Kubernetes)
Good To have Skills
Skill 1 Yrs of Exp N/A
Skill 2 Yrs of Exp N/A
Skill 3 Yrs of Exp N/A
Skill 4 Yrs of Exp -N/A
Mandatory if Applicable
Domain Experience (If any ) N/A
Must have Certifications N/A
Prior UST experience Y / N
* Expertise in Google Cloud Platform (GCP) Terraform Python scripting and container platforms.
* The ideal candidate will have hands-on experience in multi-cloud environments on-prem to cloud migration and managing CI/CD pipelines across multiple applications.
* Strong communication skills and the ability to lead distributed teams are essential.
Key Responsibilities:
* Design implement and manage Infrastructure as Code (IaC) using Terraform across GCP and other cloud platforms.
* Lead on-prem to cloud migration initiatives ensuring minimal disruption and optimal performance.
* Develop and maintain CI/CD pipelines using tools like Jenkins GitHub Actions or GitLab CI.
* Automate infrastructure provisioning configuration and deployment using Python and other scripting languages.
* Manage container platforms (Docker Kubernetes) for scalable application deployment.
* Implement and enforce IAM policies security best practices and compliance standards.
* Monitor system performance troubleshoot issues and optimize cloud resources.
* Collaborate with onsite and offshore teams to ensure seamless delivery across time zones.
* Support multiple applications in a multi-cloud environment (GCP AWS Azure).
* Troubleshoot firewall and networking issues by working closely with infrastructure security and networking teams.
* Integrate and support AI/ML workflows including model deployment data pipelines and resource scaling.
* Document processes configurations and architectural decisions.
Required Skills & Qualifications:
* 5-10 years of experience in DevOps Cloud Engineering or Infrastructure Automation.
* Strong hands-on experience with Google Cloud Platform (GCP). Proficiency in Terraform for IaC and Python for automation.
* Experience with containerization (Docker) and orchestration (Kubernetes). Solid understanding of IAM networking and cloud security principles.
* Proven track record in CI/CD pipeline development and maintenance. Experience in multi-cloud environments and on-prem to cloud migration.
* Familiarity with monitoring tools (Prometheus Grafana ELK). Excellent communication and leadership skills.
* Experience working in Agile/Scrum environments.
* Exposure to AI/ML tools such as TensorFlow PyTorch Vertex AI or Kubeflow.
* Preferred Tools & Technologies: Cloud Platforms: GCP AWS Azure IaC
* Automation: Terraform Python Ansible CI/CD: Jenkins GitHub Actions GitLab CI Containers: Docker Kubernetes Monitoring & Logging: Prometheus Grafana ELK Stack Version Control: Git Bitbucket Collaboration: Jira Confluence Slack Microsoft Teams Shape Nice to Have: Certifications in GCP Terraform or Kubernetes.
* Experience with service mesh (Istio Linkerd). Exposure to retail or enterprise-scale applicati
Mandatory Areas Must Have Skills GCP DevOps Engineer Skill 1 5 Years of exp in Google Cloud Platform Skill 2 10 Years of Exp in DevOps Skill 3- 6 Years In Experience with containerization (Docker) and orchestration (Kubernetes) Good To have Skills Skill 1 Yrs of Exp N/A S...
Mandatory Areas
Must Have Skills GCP DevOps Engineer
Skill 1 5 Years of exp in Google Cloud Platform
Skill 2 10 Years of Exp in DevOps
Skill 3- 6 Years In Experience with containerization (Docker) and orchestration (Kubernetes)
Good To have Skills
Skill 1 Yrs of Exp N/A
Skill 2 Yrs of Exp N/A
Skill 3 Yrs of Exp N/A
Skill 4 Yrs of Exp -N/A
Mandatory if Applicable
Domain Experience (If any ) N/A
Must have Certifications N/A
Prior UST experience Y / N
* Expertise in Google Cloud Platform (GCP) Terraform Python scripting and container platforms.
* The ideal candidate will have hands-on experience in multi-cloud environments on-prem to cloud migration and managing CI/CD pipelines across multiple applications.
* Strong communication skills and the ability to lead distributed teams are essential.
Key Responsibilities:
* Design implement and manage Infrastructure as Code (IaC) using Terraform across GCP and other cloud platforms.
* Lead on-prem to cloud migration initiatives ensuring minimal disruption and optimal performance.
* Develop and maintain CI/CD pipelines using tools like Jenkins GitHub Actions or GitLab CI.
* Automate infrastructure provisioning configuration and deployment using Python and other scripting languages.
* Manage container platforms (Docker Kubernetes) for scalable application deployment.
* Implement and enforce IAM policies security best practices and compliance standards.
* Monitor system performance troubleshoot issues and optimize cloud resources.
* Collaborate with onsite and offshore teams to ensure seamless delivery across time zones.
* Support multiple applications in a multi-cloud environment (GCP AWS Azure).
* Troubleshoot firewall and networking issues by working closely with infrastructure security and networking teams.
* Integrate and support AI/ML workflows including model deployment data pipelines and resource scaling.
* Document processes configurations and architectural decisions.
Required Skills & Qualifications:
* 5-10 years of experience in DevOps Cloud Engineering or Infrastructure Automation.
* Strong hands-on experience with Google Cloud Platform (GCP). Proficiency in Terraform for IaC and Python for automation.
* Experience with containerization (Docker) and orchestration (Kubernetes). Solid understanding of IAM networking and cloud security principles.
* Proven track record in CI/CD pipeline development and maintenance. Experience in multi-cloud environments and on-prem to cloud migration.
* Familiarity with monitoring tools (Prometheus Grafana ELK). Excellent communication and leadership skills.
* Experience working in Agile/Scrum environments.
* Exposure to AI/ML tools such as TensorFlow PyTorch Vertex AI or Kubeflow.
* Preferred Tools & Technologies: Cloud Platforms: GCP AWS Azure IaC
* Automation: Terraform Python Ansible CI/CD: Jenkins GitHub Actions GitLab CI Containers: Docker Kubernetes Monitoring & Logging: Prometheus Grafana ELK Stack Version Control: Git Bitbucket Collaboration: Jira Confluence Slack Microsoft Teams Shape Nice to Have: Certifications in GCP Terraform or Kubernetes.
* Experience with service mesh (Istio Linkerd). Exposure to retail or enterprise-scale applicati
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