Platform Engineer

• Provide technical support and troubleshoot issues related to the Starburst Enterprise Platform.

• Ensure platform performance, availability, and reliability using Helm charts for resource management.

Deployment and Configuration:

• Manage deployment and configuration of the Starburst Enterprise Platform on Kubernetes using Helm charts and YAML-based values files.

• Build and maintain Docker images as needed to support efficient, scalable deployments and integrations.

• Employ GitHub Actions for streamlined CI/CD processes.

User Onboarding and Support:

• Assist in onboarding users by setting up connections, catalogs, and data consumption client tools.

• Address user queries and incidents, ensuring timely resolution and issue triage.

Maintenance and Optimization:

• Perform regular updates, patching, and maintenance tasks to ensure optimal platform performance.

• Conduct application housekeeping, user query logs, and access audits.

Scripting and Automation:

• Develop automation scripts using Python and GitHub pipelines to enhance operational efficiency.

• Document workflows and ensure alignment with business objectives.

Broader Knowledge and Integration:

• Maintain expertise in technologies like Immuta, Apache Ranger, Collibra, Snowflake, PostgreSQL, Redshift, Hive, Iceberg, dbt, AWS Lambda, AWS Glue, and Power BI.

• Provide insights and recommendations for platform improvements and integrations.

New Feature Development and Integration:

• Collaborate with feature and product development teams to design and implement new features and integrations with other data product value chain systems and tools.

• Assist in defining specifications and requirements for feature enhancements and new integrations.

Automation and Innovation:

• Identify opportunities for process automation and implement solutions to enhance operational efficiency.

• Innovate and contribute to the development of new automation tools and technologies.

Incident Management:

• Support incident management processes, including triaging and resolving technical challenges efficiently.

• Bachelors degree in Computer Science, Information Technology, or a related field.

• Experience supporting and maintaining applications deployed on Kubernetes using Helm charts and Docker images.

• Understanding of RDS, GitHub Actions, and CI/CD pipelines.

• Proficiency in Python and YAML scripting for automation and configuration.

• Experience working with Kubernetes (k8s).

• Knowledge of data and analytical products like Immuta, Apache Ranger, Collibra, Snowflake, PostgreSQL, Redshift, Hive, Iceberg, dbt, AWS Lambda, AWS Glue, and Power BI.

• Familiarity with cloud environments such as AWS.

• Knowledge of additional scripting languages or tools is a plus.