Cloud Consultant
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Job Location:
Monthly Salary:
Posted on:
3 days ago
Vacancies:
1 Vacancy
Job Summary
Roles and Responsibilities
- Manage monitor and optimize Google Cloud Platform (GCP) infrastructure.
- Oversee application deployments on Google Kubernetes Engine (GKE) and ensure cluster performance.
- Perform cost optimization scaling configuration and resource planning across GCP services.
- Manage Identity and Access Management (IAM) service accounts and security policies.
- Administer InMotion hosting infrastructure and maintain stable server performance.
- Oversee application deployments updates and maintenance on InMotion servers.
- Implement test and maintain backup and disaster recovery (DR) plans for InMotion Hosting & GCP.
- Continuously monitor system performance and troubleshoot cloud container or configuration issues.
- Ensure secure and reliable integration between cloud and on-prem systems.
- Collaborate with cross-functional teams to design and improve cloud architecture.
- Provide technical guidance and enforce cloud best practices security standards and operational procedures.
Required Skills
- Strong knowledge of Google Cloud Platform services and architecture.
- Hands-on experience with Kubernetes GKE Docker and containerized deployments.
- Solid understanding of IAM cloud security principles and access control.
- Experience with Linux server administration and hosting platforms.
- Strong troubleshooting skills for cloud and orchestrated environments.
- Experience implementing backup strategies and disaster recovery procedures.
- Good communication skills and ability to work with technical and non-technical teams.
Engagement Details - Daily availability for 2 to 3 hours.
- Remote or hybrid support.
- Timely response and daily progress updates.
Required Experience:
Contract
Key Skills
- Sales Experience
- Direct Sales
- Hyperion
- Financial Services
- Financial Concepts
- Banking
- Oracle EBS
- Securities Law
- Peoplesoft
- Oracle
- Financial Management
- Workday
About Company
Summary: Designs end-to-end AI systems, integrating machine learning, automation, and data engineering into scalable enterprise solutions. Key Responsibilities: - Define AI architecture aligned with business goals. - Lead solution design for AI/ML projects. - Evaluate AI tools, frame ... View more
