
Senior Cloud Architect
1 day ago
This is a senior-level position in cloud infrastructure engineering.
The ideal candidate will have extensive experience designing, implementing, and managing scalable, secure, and highly available cloud infrastructure on GCP and Azure.
- Design and implement cloud-native architectures for LLM-based products and services.
- Utilize Docker, Kubernetes, and CI/CD pipelines for AI model deployment and updates.
- Collaborate with AI product managers and data engineers to transform prototypes into production.
- Implement best practices in MLOps/AI Ops for model versioning, monitoring, and automation.
- Develop and maintain network architecture, including VPCs, subnets, routing tables, security groups, etc.
- Collect requirements, design service & resource configuration, and implement configuration for GCP and Azure resources/services.
- Configure and manage VPNs, Direct Connect, ExpressRoute, and other network connectivity solutions.
- Implement and manage cloud-based firewalls, load balancers, Meraki switches/access points, and other network security measures.
- Monitor and optimize network performance, ensuring low latency and high availability.
- Automate infrastructure provisioning and management using tools like Terraform, CloudFormation, and ARM templates.
- Experience working with network scanning tools to determine access points & potential vulnerabilities.
- Troubleshoot and resolve network-related issues in a timely manner.
- Monitor cloud infrastructure using Google Cloud Operations Suite, Datadog, Splunk, etc.
- Implement and manage security measures, including policies, encryption, etc.
- Ensure compliance with security standards and regulations.
- Stay up-to-date with the latest cloud and network engineering trends, technologies, and best practices.
- Provide technical guidance and mentorship to junior engineers.
- Contribute to the development of RFPs, PoCs, and client proposals.
- Stay updated on emerging AI innovations, including Generative AI, Agentic AI, and foundation models (GPT, Gemini, Copilot).
- 5+ years of experience in cloud engineering with a focus on GCP and Azure.
- A master's or bachelor's degree in computer science, Information Technology, or a related field.
- Proficiency in GCP/Azure services, such as VMs, Storage, SQL Database & SQL Managed Instance, and Functions.
- Strong expertise in network engineering, including designing and managing complex network architectures.
- Proficiency in configuring and managing VPNs, Direct Connect, ExpressRoute, and other network connectivity solutions.
- Experience with cloud-based firewalls, load balancers, and network security best practices.
- Hands-on experience with IaC tools, such as Terraform, CloudFormation, and ARM templates.
- Strong scripting skills in languages, such as Python, Bash, or PowerShell.
- Experience working with MSPs to manage on-prem network devices and ensure seamless integration with cloud infrastructure.
- Excellent problem-solving skills and the ability to troubleshoot complex network issues.
- Strong communication and collaboration skills, with the ability to work effectively in a team.
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