Senior Cloud Platform Engineer

Strong experience with a major cloud platform (GCP, AWS, or Azure), including services for compute, storage, and networking. Proficiency in Infrastructure-as-Code (IaC) tools like Terraform, CloudFormation, or Ansible. Experience with workflow orchestration tools such as Apache Airflow, Prefect, or Kubeflow Pipelines. Demonstrated ability to implement CI/CD pipelines for IaC and application deployments. Familiarity with containerization technologies (Docker, Kubernetes). Proficiency in scripting languages like Python and Bash. Experience with testing tools for infrastructure and pipelines (e.g., pytest, moto, test-infra, terratest). Strong command of Git for version control. 3.

Design and implement scalable, secure, and cost-effective cloud infrastructure for data storage (data warehouse), compute resources, and networking. Develop and manage workflow orchestration pipelines for automated synthetic data generation, data ingestion, model training, and dashboard updates. Implement CI/CD pipelines for infrastructure-as-code (IaC) deployments and application releases, ensuring reliability and repeatability. Monitor system performance, troubleshoot issues, and optimize resource utilization to maintain the stability and efficiency of the POC environment. Implement robust testing strategies for infrastructure-as-code (IaC) configurations and pipeline components, ensuring the reliability and correctness of the deployed environment. 4. Good to Have: Experience with specific cloud services like GCP's BigQuery, Cloud Run, GKE, or AWS's S3, Redshift, EKS. Knowledge of advanced networking concepts and security best practices in the cloud. Experience with serverless computing paradigms. Experience with on-premise deployment 5. Soft Skills: System Design: Ability to architect robust, scalable, and secure cloud solutions. Automation Mindset: Strong drive to automate repetitive tasks and build efficient pipelines. Troubleshooting: Excellent diagnostic skills to identify and resolve infrastructure and deployment issues. Security Focus: Proactive in implementing best practices for cloud security and access management. Collaboration: Works closely with Data Engineers and ML Engineers to understand their infrastructure needs. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us ! Experience Level Senior Level