GCP Data and AI Engineer

As a Senior Engineer, your hands-on responsibilities will include:

AI & Application Development:

• Design, build, and operationalize sophisticated AI applications, including production-grade RAG pipelines on GCP.
• Leverage the Vertex AI platform to train, fine-tune, and deploy machine learning and generative AI models.
• Design and implement complex agentic workflows to automate and optimize business processes.
• Develop, consume, and host mission-critical REST APIs using Python, deployed as containerized applications on Cloud Run.

Data Engineering & Pipelines:

• Design, develop, and maintain scalable batch and streaming data pipelines using Python, SQL, Cloud Composer, and Pub/Sub.
• Develop and optimize complex SQL queries in BigQuery for large-scale data analysis, extraction, and transformation.
• Automate data quality and ETL testing procedures using Python and SQL.

Infrastructure & Operations:

• Develop and deploy all cloud infrastructure as code using Terraform.

• Implement and manage CI/CD pipelines for data and AI applications, including automated testing, security checks, controlled environment promotion, and reliable production deployment.

• Own security and governance controls for data and AI solutions, including IAM, least-privilege access, encryption, secrets management, audit logging, data protection, and compliance with enterprise standards.

• Serve as a key escalation point for complex L3 production issues, providing expert troubleshooting and resolution