Google Cloud Architect
- Pakistan
- Permanent
- Full-time
Responsibilities
- Design and implement scalable, resilient, and secure architecture on Google Cloud Platform.
- Assess business and technical requirements to recommend appropriate GCP solutions.
- Lead cloud migration initiatives, including assessment, planning, execution, and optimization.
- Develop reference architectures, design patterns, and technical roadmaps for cloud adoption.
- Collaborate with development, DevOps, security, and operations teams to ensure seamless delivery.
- Provide technical leadership in areas such as data platforms, AI/ML, networking, security, and DevOps on GCP.
- Conduct cost optimization and performance tuning of cloud workloads.
- Stay updated with GCP product innovations and advise on best practices.
- Bachelor's or master's degree in computer science, Engineering, or related field.
- 8+ years of experience in IT architecture, with at least 4 years in GCP-focused roles.
- Proven expertise in Google Cloud services (Compute Engine, GKE, BigQuery, Pub/Sub, Cloud Storage, Cloud Functions, IAM, Vertex AI, Networking, etc.).
- Proven experience delivering AI/ML and Generative AI applications on GCP (Vertex AI, BigQuery ML, or custom LLM workflows).
- Proven experience delivering Gen AI or LLM-powered applications (e.g., summarization, classification, scenario generation).
- Hands-on ability to design and guide implementation of data pipelines and ML workflows using SQL, Python, Spark, and orchestration tools (e.g., Airflow, Cloud Composer, or equivalent).
- Strong background in cloud migration strategies, hybrid/multi-cloud, and enterprise architecture.
- Hands-on experience with infrastructure as code (Terraform, Deployment Manager, Ansible, etc.).
- Proficiency in DevOps tools (CI/CD pipelines, Cloud Build, Jenkins, GitHub Actions).
- Knowledge of cloud security, compliance frameworks, and networking fundamentals.
- Excellent communication and stakeholder management skills.
- Google Professional Cloud Architect Certification, Google Professional Machine Learning Engineer Certification. (Preferrable)
- Experience with multi-cloud environments (AWS, Azure) is highly desirable. (Preferrable)
- Background in data analytics, AI/ML platforms, or Kubernetes-based solutions. (Preferrable)
- Experience in client-facing consulting roles. (Preferrable)