drjobs GCP Cloud Architect - Technical Architect

GCP Cloud Architect - Technical Architect

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1 Vacancy
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Job Location drjobs

Springfield - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

About Us: We are a leading technology solutions provider committed to delivering innovative and scalable cloud solutions. We are looking for a highly skilled and experienced GCP Architect to join our team and lead our cloud foundation build onpremises GCP migration and Vertex AI implementation projects.

Job Description:

Responsibilities:

  • Design and implement robust cloud architectures on Google Cloud Platform (GCP).
  • Lead the cloud foundation build ensuring best practices in security scalability and performance.
  • Manage and execute the migration of onpremises infrastructure to GCP.
  • Implement and optimize Vertex AI solutions for advanced machine learning and AI capabilities.
  • Collaborate with crossfunctional 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 GCP infrastructure and services.
  • Stay updated with the latest GCP features tools and best practices.

Qualifications:

  • Bachelors or Masters degree in Computer Science Information Technology or a related field.
  • Minimum of 5 years of handson experience with GCP architecture and services.
  • Proven experience in cloud foundation builds and onpremises to GCP migration projects.
  • Strong expertise in Vertex AI and implementing machine learning models on GCP.
  • Proficiency in GCP services such as Compute Engine Cloud Storage BigQuery Cloud Functions and Kubernetes Engine.
  • Excellent understanding of networking security and IAM in GCP.
  • Strong problemsolving skills and the ability to work in a fastpaced 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 cloudnative 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 multicloud strategies.
  • Familiarity with cloud compliance frameworks such as GDPR HIPAA and SOC 2.
  • Proficiency in using GCPs 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:

  • GCP Professional Cloud Architect certification.
  • Experience with hybrid cloud environments and multicloud strategies.
  • Knowledge of machine learning frameworks such as TensorFlow PyTorch or scikitlearn.
  • Experience with serverless computing and eventdriven architectures

Key performance indicators (KPIs) for a GCP Architect can help measure the effectiveness and success of their work.

Here are some important KPIs to consider:

  • Cloud Infrastructure Uptime: Measure the availability and reliability of the cloud infrastructure. High uptime indicates a stable and wellmaintained environment.
  • Cost Optimization: Track cloud spending and identify opportunities for cost savings. This includes monitoring resource utilization and implementing costsaving measures.
  • Migration Success Rate: Evaluate the success of onpremises to GCP migration projects. This includes the percentage of successful migrations completed on time and within budget.
  • Performance Metrics: Monitor the performance of cloud applications and services including response times latency and throughput. Ensure that performance meets or exceeds predefined SLAs.
  • Security Compliance: Ensure that the cloud environment adheres to security best practices and compliance requirements. This includes regular security audits and vulnerability assessments.
  • Scalability and Flexibility: Measure the ability to scale resources up or down based on demand. This includes the efficiency of autoscaling mechanisms and the flexibility of the architecture.
  • Incident Response Time: Track the time taken to detect respond to and resolve incidents. Faster response times indicate a wellprepared and efficient incident management process.
  • User Satisfaction: Gather feedback from stakeholders and endusers to assess their satisfaction with the cloud solutions provided. High satisfaction levels indicate successful implementation and support.
  • Innovation and Improvement: Measure the frequency and impact of new features improvements and optimizations introduced to the cloud environment. This includes the adoption of new GCP services and technologies.
  • Training and Development: Track the ongoing training and certification of the cloud team. Continuous learning and skill development are crucial for staying uptodate with the latest GCP advancements.

Employment Type

Full Time

Company Industry

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