What are the responsibilities and job description for the Google Cloud Platform Cloud Architect position at Key Infotek LLC?
Job Details
Job Title: Google Cloud Platform Cloud Architect - Technical Architect
Location: Springfield, MO
Duration: Longterm
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
