What are the responsibilities and job description for the Infrastructure Google Cloud Platform Cloud Architect - Technical Architect position at TetriQ Solutions LLC?
Job Details
Hi
Infrastructure Google Cloud Platform Cloud Architect - Technical Architect
Springfield, MO(Onsite)
24 Months
Responsibilities:
- Design and implement robust cloud architectures on Google Cloud Platform (Google Cloud Platform).
- Lead the cloud foundation build, ensuring best practices in security, scalability, and performance.
- Manage and execute the migration of on-premises infrastructure to Google Cloud Platform.
- Implement and optimize Vertex AI solutions for advanced machine learning and AI capabilities.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Provide technical leadership and mentorship to junior engineers and architects.
- Ensure compliance with industry standards and regulatory requirements.
- Troubleshoot and resolve complex technical issues related to Google Cloud Platform infrastructure and services.
- Stay updated with the latest Google Cloud Platform features, tools, and best practices.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- Minimum of 5 years of hands-on experience with Google Cloud Platform architecture and services.
- Proven experience in cloud foundation build and on-premises to Google Cloud Platform migration projects.
- Strong expertise in Vertex AI and implementing machine learning models on Google Cloud Platform.
- Proficiency in Google Cloud Platform services such as Compute Engine, Cloud Storage, BigQuery, Cloud Functions, and Kubernetes Engine.
- Excellent understanding of networking, security, and IAM in Google Cloud Platform.
- Strong problem-solving skills and the ability to work in a fast-paced environment.
- Excellent communication and collaboration skills.
Technical Skills Required:
- Experience with Terraform, Ansible, or other infrastructure as code (IaC) tools.
- Knowledge of DevOps practices and CI/CD pipelines.
- Proficiency in scripting languages such as Python, Bash, or PowerShell.
- Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
- Familiarity with monitoring and logging tools such as Stackdriver, Prometheus, and Grafana.
- Understanding of data engineering concepts and tools like Dataflow, Dataproc, and Pub/Sub.
- Experience with API management and microservices architecture.
- Knowledge of security best practices, including encryption, key management, and identity management.
- Familiarity with other cloud platforms like AWS or Azure.
- Experience with cloud-native application development and serverless architectures.
- Proficiency in designing and implementing disaster recovery and business continuity plans.
- Knowledge of cloud cost management and optimization strategies.
- Experience with hybrid cloud environments and multi-cloud strategies.
- Familiarity with cloud compliance frameworks such as GDPR, HIPAA, and SOC 2.
- Proficiency in using Google Cloud Platform's AI and machine learning tools, such as AutoML and AI Platform.
- Experience with data warehousing solutions like BigQuery and data lake architectures.
- Knowledge of cloud networking concepts, including VPC, VPN, and interconnects.
Preferred Skills:
- Google Cloud Platform Professional Cloud Architect certification.
- Experience with hybrid cloud environments and multi-cloud strategies.
- Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Thanks & Regards
Sahitya S
Email :
Desk :
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