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Related skills

bigquery azure aws snowflake kubernetes

📋 Description

  • Define architecture across cloud, data, and AI/ML workloads.
  • Lead as senior technical authority on cross-functional teams.
  • Partner with leadership and clients on technical strategy.
  • Mentor experienced engineers; own high-stakes architectural decisions.
  • Ship production-ready AI in 30-45 days; own delivery cadence.

🎯 Requirements

  • 8+ years in software engineering; 5+ in technical leadership.
  • Strong cloud experience (multi-cloud/hybrid).
  • Architect for data lakes/warehouses, AI/ML workloads; model serving.
  • Proficiency in AWS, Azure, GCP; Kubernetes; Snowflake/BigQuery; Spark; Kafka.
  • Hands-on with MLOps, CI/CD, IaC (Terraform, CloudFormation).
  • Strong communication; mentor and influence stakeholders.

🎁 Benefits

  • Competitive compensation; comprehensive benefits including medical/dental/vision and 401(k).
  • Opportunity to work with cutting-edge AI in a fast-paced studio environment.
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