• Minimum 7 years of experience as an SRE Engineer, with exposure to data platform solutions being an advantage.
• Extensive experience with AWS, including IAM, ECS, EKS, Lambda, and CloudWatch.
• Expertise in deploying and managing containerized services, especially on Kubernetes.
• Hands-on experience with Infrastructure-as-Code and automation tools like Terraform or Scalr.
• Strong knowledge of cloud architecture, with a focus on maintaining service SLAs and ensuring high availability.
• Experience with cloud security practices, SSO solutions, and authentication protocols (e.g., Auth0, SAML/OIDC, OAuth).
• Familiarity with deploying and maintaining data processing frameworks and ML platforms such as Airflow, Airbyte, Superset, Metabase, Databricks, Snowflake, MLflow, etc., is a strong advantage.
Preferred Skills
• Experience with Google Cloud Platform (GCP) or Microsoft Azure.
• Familiarity with CI/CD tools such as ArgoCD.