Architect - Google Cloud Platform SkyBridge HR Solutions

5.0 - 9.0 years

0 Lacs

coimbatore, tamil nadu

On-site

As a GCP Architect with AI Expertise, you will play a crucial role in leading the design, implementation, and optimization of cloud and AI-driven solutions on Google Cloud Platform (GCP). Your deep expertise in cloud infrastructure, AI/ML, networking, and security will be essential for architecting scalable, secure, and highly available cloud solutions while leveraging AI to drive automation and intelligence across enterprise environments. Your responsibilities will include designing and implementing scalable, secure, and cost-effective architectures on GCP, developing AI/ML-driven solutions using tools such as Vertex AI, BigQuery ML, TensorFlow, and AutoML, and architecting end-to-end data pipelines to support AI model training, deployment, and monitoring. You will also be responsible for building high-availability, backup, and disaster recovery solutions in GCP. In terms of infrastructure and security, you will implement identity management, IAM policies, security protocols, and network segmentation, design and automate provisioning of networks, firewalls, ACLs, and access control policies, and ensure compliance with security and governance frameworks for cloud-based AI workloads. Additionally, you will manage multi-VPC networking, hybrid cloud connectivity, and firewall configurations. Your role will also involve leading large-scale application and network migrations to GCP, developing Terraform-based infrastructure automation, and managing Infrastructure as Code (IaC). You will implement CI/CD pipelines for AI/ML workloads using tools like GitHub, Jenkins, and Ansible, and design DevOps solutions with cloud-native tools and containerized workloads on GKE. As a technical leader and advisor, you will provide strategic guidance on cloud adoption, AI/ML use cases, and infrastructure modernization, lead requirements gathering, solution design, and implementation for GCP cloud-based AI solutions, and support pre-sales activities, including POCs, RFP responses, and SOW creation. You will mentor and provide technical oversight to engineering teams and serve as a trusted cloud advisor for customers, helping them solve complex cloud infrastructure and AI challenges. Furthermore, you will be responsible for optimizing cloud resource usage, cost management, and AI model performance, conducting cloud usage analytics, security audits, and AI model monitoring, and developing strategies to improve network reliability, redundancy, and high availability. If you are passionate about cloud transformation, AI, and solving complex infrastructure challenges, this role presents a perfect opportunity for you to make a meaningful impact in the field of cloud and AI technologies.,

Posted 1 month ago

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Site Reliability Engineers (SREs) - Google Cloud Platform (GCP) UPS Supply Chain Solutions (UPS SCS)

4.0 - 9.0 years

7 - 12 Lacs

Mumbai

Work from Office

Site Reliability Engineers (SREs) - Robust background in Google Cloud Platform (GCP) | RedHat OpenShift administration Responsibilities: System Reliability: Ensure the reliability and uptime of critical services and infrastructure. Google Cloud Expertise: Design, implement, and manage cloud infrastructure using Google Cloud services. Automation: Develop and maintain automation scripts and tools to improve system efficiency and reduce manual intervention. Monitoring and Incident Response: Implement monitoring solutions and respond to incidents to minimize downtime and ensure quick recovery. Collaboration: Work closely with development and operations teams to improve system reliability and performance. Capacity Planning: Conduct capacity planning and performance tuning to ensure systems can handle future growth. Documentation: Create and maintain comprehensive documentation for system configurations, processes, and procedures. Qualifications: Education: Bachelors degree in computer science, Engineering, or a related field. Experience: 4+ years of experience in site reliability engineering or a similar role. Skills: Proficiency in Google Cloud services (Compute Engine, Kubernetes Engine, Cloud Storage, BigQuery, Pub/Sub, etc.). Familiarity with Google BI and AI/ML tools (Looker, BigQuery ML, Vertex AI, etc.) Experience with automation tools (Terraform, Ansible, Puppet). Familiarity with CI/CD pipelines and tools (Azure pipelines Jenkins, GitLab CI, etc.). Strong scripting skills (Python, Bash, etc.). Knowledge of networking concepts and protocols. Experience with monitoring tools (Prometheus, Grafana, etc.). Preferred Certifications: Google Cloud Professional DevOps Engineer Google Cloud Professional Cloud Architect Red Hat Certified Engineer (RHCE) or similar Linux certification

Posted 2 months ago

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