MLOps Engineer_MLOps platform Squad

Ameriabank CJSC

- Design, deploy, and operate production Kubernetes clusters (on-premises) with focus on high availability, scalability, and zero-downtime deployments - Manage Helm charts and ArgoCD for GitOps-based continuous delivery of platform and application workloads - Build and maintain CI/CD pipelines in Azure DevOps for automated testing and deployment across data and ML services - Architect and maintain a modern data lake using open table formats (Iceberg) on on-premises and hybrid storage - Build, schedule, and monitor scalable batch and streaming pipelines using Apache Airflow, Apache Spark, and Apache Flink - Deploy and operate Trino and ClickHouse as query engines for analytics over the data lake - Deploy and operate JupyterHub and Dagster on Kubernetes for ML experimentation and workflow orchestration - Manage the Feature Store (Feast / PostgreSQL) and Parquet-based data storage for ML workloads - Work closely with Data Science and Data Engineering teams to productionize ML workflows and onboard new data sources

- Hands-on experience designing and managing Kubernetes clusters from scratch (on-premises preferred) - Hands-on experience with Helm and ArgoCD for GitOps-based application delivery in Kubernetes environments - Experience building CI/CD pipelines with Azure DevOps - Experience with Apache Airflow, Apache Spark, and Apache Flink for pipeline orchestration and processing - Experience with Trino or ClickHouse as distributed query engines - Experience with dbt for data transformation and modeling - Familiarity with modern open table formats (Iceberg) - Familiarity with Dagster, JupyterHub, Feast, or Parquet-based data lake patterns will be a plus

Apply here https://ats.hirebee.ai/en/jobs/mlops-engineermlops-platform-squad-3/apply?source_id=staff Please mention in your application that you have learned about this position from MyJob.am