Ingram Micro
GCP Cloud Senior Engineer
India · Work style not stated · Full time
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About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerIngram Micro
- LocationIndia
- Work styleWork style not stated
- Employment typeFull time
- Employer posted
It's fun to work in a company where people truly BELIEVE in what they're doing!
Job Description:
Key Responsibilities
Cloud Deployment & Implementation
- Deploy, configure, and manage cloud infrastructure on Google Cloud Platform.
- Support cloud migration and modernization projects from on-premises and other cloud environments.
- Implement compute, storage, networking, and security solutions on GCP.
- Ensure cloud environments are optimized for performance, scalability, and cost efficiency.
Infrastructure & Operations
- Manage and support GCP services including:
- Compute Engine
- Google Kubernetes Engine (GKE)
- Cloud Storage
- Cloud SQL
- BigQuery
- VPC
- Load Balancers
- IAM
- Cloud Monitoring & Logging
- Perform system administration, patching, and operational support activities.
- Troubleshoot infrastructure, networking, and application-related issues.
Show full description
Automation & DevOps
- Develop and maintain Infrastructure as Code (IaC) using Terraform.
- Automate deployment and operational processes.
- Support CI/CD pipelines using tools such as GitHub, GitLab, Jenkins, or Cloud Build.
- Implement monitoring, alerting, and backup strategies.
Security & Compliance
- Implement cloud security best practices.
- Configure IAM policies, service accounts, and access controls.
- Ensure adherence to security, compliance, and governance standards.
- Participate in vulnerability remediation and security audits.
Customer & Delivery Support
- Collaborate with customers, architects, and project managers throughout delivery engagements.
- Participate in solution implementation, testing, and production go-live activities.
- Prepare technical documentation, implementation guides, and operational runbooks.
- Provide post-deployment support and knowledge transfer sessions.
Required Skills
Technical Skills
- Strong hands-on experience with Google Cloud Platform (GCP).
- Experience with:
- Compute Engine
- GKE (Google Kubernetes Engine)
- Cloud Storage
- VPC & Networking
- IAM & Security
- Cloud SQL
- Big Query
- Monitoring & Logging
- Knowledge of Linux/Windows administration.
- Understanding of DNS, Load Balancing, VPN, and Firewall concepts.
- Experience with Terraform or similar IaC tools.
- Exposure to Docker and Kubernetes.
DevOps & Automation
- Experience with CI/CD tools and deployment automation.
- Scripting knowledge in Python, Shell, or PowerShell.
- Familiarity with Git-based version control systems.
Qualifications
- Bachelor's degree in computer science, Information Technology, Engineering, or related field.
- Google Associate Cloud Engineer Certification preferred.
- Google Professional Cloud Architect Certification is an added advantage.
Preferred Experience
- 4+ years of IT infrastructure, cloud, or systems engineering experience.
- 2+ years of hands-on GCP implementation and support experience.
- Experience in cloud migration, managed services, or cloud operations environments.
- Knowledge of AWS or Azure is a plus.
Key Competencies
- Problem-solving and troubleshooting skills.
- Strong communication and customer-facing abilities.
- Ability to work in a fast-paced, project-oriented environment.
- Team collaboration and ownership mindset.
- Continuous learning and cloud technology adoption.
Key Performance Indicators (KPIs)
- Successful Project Deliveries
- SLA & Support Compliance
- Infrastructure Availability
- Incident Resolution Time
- Automation & Process Improvement Initiatives
- Customer Satisfaction
- Cloud Security Compliance
- Certification Achievement
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At a glance
- Employment typeFull time
- SenioritySenior
- Employer posted
- Added to ROLIVA
- Last checked
Skills in this posting
Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.
SQL Python BigQuery AWS GCP Azure Kubernetes Docker Terraform