🛠 Tech Stack

💼 About This Role

You'll be the reliability backbone of an AI-first data team, ensuring deployments, pipelines, and observability for data-intensive services. Your work directly impacts enterprise data platforms and agentic AI workloads. This role offers the chance to shape the next-generation data infrastructure for a leading personalization platform.

🎯 What You'll Do

• Build and maintain reliability ecosystem for DataCraft services on GCP and Kubernetes
• Ensure end-to-end observability across Kafka, Airflow, Databricks, and BigQuery
• Own and evolve Terraform-based infrastructure and CI/CD pipelines
• Participate in L3 on-call rotation and incident resolution

📋 Requirements

• 5+ years of experience in site reliability engineering or DevOps
• Expertise in GCP and Kubernetes
• Proficiency in Terraform for infrastructure as code
• Experience with monitoring and observability tools (Prometheus, Grafana)

✨ Nice to Have

• Experience with data pipelines (Kafka, Airflow, Spark)
• Knowledge of agentic AI platforms (LLM APIs, MCP)
• Familiarity with multi-cloud (Snowflake, Databricks)

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 🏠 Full remote work from home
• 💻 Latest tech gear
• 📚 Learning budget for conferences and courses
• 🏋️ Wellness program (e.g., gym membership)

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min