Staff Data & AI Cloud Platform Engineer

What you'll do

• Implement and maintain CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Azure DevOps.
• Automate cloud infrastructure and enforce security baselines using IaC tools such as Terraform.
• Integrate security scanning and manage identity access controls for containerized environments.
• Develop and maintain automated dashboards to monitor and optimize multi-cloud costs and FinOps reporting.
• Manage Snowflake accounts, including warehouse optimization, resource monitoring, and performance tuning.
• Oversee data ingestion pipelines and implement security policies like RBAC and data masking in Snowflake.
• Evaluate and manage AI offerings while tracking token usage and associated costs.

What we're looking for

• Bachelor's degree or equivalent experience in Computer Science, Engineering, Machine Learning, or a related STEM field.
• Master's degree is preferred.
• 7+ years of experience across Cloud technologies.
• Proficiency with CI/CD tooling, DevSecOps practices, and Infrastructure as Code (IaC) tools like Terraform.
• Hands-on experience with Azure/GCP security, automation, and containerization using Docker and Kubernetes.
• Expertise in Snowflake administration, SQL, data warehouse operations, and managing data ingestion pipelines.
• Familiarity with cloud cost management tools, FinOps principles, and scripting languages such as Python, Bash, or PowerShell.
• Understanding of networking, IAM, cloud security architecture, and AI/LLM frameworks like Langchain or Langgraph.