
GCP Tooling and GenAI Engineer
4 days ago
Key Responsibilities:
- Ensure high availability, reliability, and scalability of managed orchestration platforms (Astronomer & Composer) supporting data integration workflows.
- Apply SRE principles including defining and tracking SLIs/SLOs, setting up alerting and monitoring systems, and managing incident response and postmortem analysis.
- Build and maintain Terraform modules for automated and repeatable provisioning of Composer/Astronomer environments
- Develop Python-based automation tooling to streamline platform operations such as deployment automation, environment configuration, incident detection, and remediation.
- Integrate generative AI models and workflows for enhanced operational intelligence—such as AI-driven anomaly detection, automated diagnostics, predictive maintenance, and intelligent runbook generation.
- Collaborate with data engineering, infrastructure, and security teams to onboard new projects, implement best practices, and ensure platform compliance with security and governance policies.
- Enhance CI/CD pipelines for deployment of platform components, enabling robust quality gates, automated testing, and rollback capabilities.
- Maintain clear and comprehensive documentation, runbooks, and knowledge bases enriched with AI-powered insights to aid platform support and incident resolution.
Programming Languages:
- Python: This is explicitly mentioned for building automation tooling, streamlining platform operations, and developing intelligent automation and monitoring solutions. It's also implied for integrating generative AI models and workflows.
Key Technologies & Platforms:
- Apache Airflow (Astronomer / Google Cloud Composer): These are core data orchestration services that the role will support, ensure reliability for, and manage.
- Google Cloud Platform (GCP): Composer is a GCP service, and the mention of "cloud resources" and "Google Cloud Composer" strongly implies familiarity with GCP.
- Terraform: This is specified as the Infrastructure as Code (IaC) tool for provisioning and managing cloud resources, and for building and maintaining modules for Composer/Astronomer environments.
- Generative AI Technologies/Models: Gemini,Langchain,ADK,Python
- CI/CD Pipelines: Experience with enhancing these pipelines for deployment of platform components is required, implying familiarity with tools like Jenkins, GitLab CI/CD, GitHub Actions, or Tekton
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• Monitoring and Alerting Systems: The role requires setting up and managing these, indicating a need for experience with tools like Dynatrace,Prometheus, Grafana, Datadog, Splunk, or similar
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