
Cloud Architect Specialist
7 days ago
Job Summary:
A highly skilled and experienced Senior DevOps Engineer is sought to join our team. The ideal candidate will have a strong background in DevOps, SRE, or Cloud Infrastructure, with a minimum of 5 years of hands-on experience.
About Us:
We are an innovative AI organization that helps businesses accelerate their AI efforts. Our end-to-end enterprise machine learning platform empowers teams to focus on ML development rather than infrastructure.
Responsibilities:
- Design, implement, and manage scalable, secure, and high-performance cloud-native infrastructure across Azure.
- Build and maintain Infrastructure as Code (IaC) using Terraform or CloudFormation.
- Develop event-driven and serverless architectures using AWS Lambda, SQS, and SAM.
- Architect and manage containerized applications using Docker, Kubernetes, ECR, ECS, or AKS.
- Establish and optimize CI/CD pipelines using GitHub Actions, Jenkins, AWS CodeBuild & CodePipeline.
- Set up and manage monitoring, logging, and alerting using Prometheus + Grafana, Datadog, and centralized logging systems.
- Collaborate with ML Engineers and Data Engineers to support MLOps pipelines (Airflow, ML Pipelines) and Bedrock with Tensorflow or PyTorch.
- Implement and optimize ETL/data streaming pipelines using Kafka, EventBridge, and Event Hubs.
- Automate operations and system tasks using Python and Bash, along with Cloud CLIs and SDKs.
- Secure infrastructure using IAM/RBAC and follow best practices in secrets management and access control.
- Manage DNS and networking configurations using Cloudflare, VPC, and PrivateLink.
- Lead architecture implementation for scalable and secure systems, aligning with business and AI solution needs.
- Conduct cost optimization through budgeting, alerts, tagging, right-sizing resources, and leveraging spot instances.
- Contribute to backend development in Python (Web Frameworks), REST/Socket and gRPC design, and testing (unit/integration).
- Participate in incident response, performance tuning, and continuous system improvement.
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