AI Security

Data pipelines, ETL, SQL, Python, data warehousing, cloud platforms (AWS/GCP), Airflow, and data modeling.

Data infrastructure, pipelines, Python, Spark, Airflow, Snowflake/BigQuery, cloud, and distributed systems.

Data pipelines, ETL, SQL, Python, BigQuery, data warehousing, cloud platforms (GCP), and data modeling.

AI networking, system architecture, Ethernet, InfiniBand, HPC, cloud, Linux, network protocols, and performance optimization.

Experience with Field Engineering, Solutions Architecture, Technical Consulting, customer-facing technical support, AI/ML solutions, SaaS, enterprise software, cloud platforms (AWS, Azure, GCP), Linux, networking, scripting (Python, Bash), API integrations, troubleshooting, problem solving, and strong communication and presentation skills are required.

Test Automation, Infrastructure Engineering, Scalable Frameworks, Java, JavaScript, TypeScript, Cypress, Playwright, CI/CD Integration, GitHub Actions, Jenkins, GitLab CI, AWS, Test Environment Management, Test Data Management, Synthetic Data Generation, Cross-functional Leadership, SRE, DevOps, Infrastructure-as-Code, Terraform, Crossplane, AI-powered Testing Tools, SaaS, B2B Products, Observability Tools, Quality Metrics

Experience with GIT and CI/CD processes.