Senior Platform Engineer – Azure, Terraform, Snowflake

Role Overview

• Own reliability, automation, and infrastructure-as-code for our modern Data & AI platform.
• Ensure our Azure-based data ecosystem is reliable, scalable, and efficient.
• Build Terraform-first infrastructure, improve developer experience, and support a healthcare environment.
• Implement monitoring, alerting, and SLO/SLIs for data pipelines and platform components.
• Lead incident response, root cause analysis, and postmortems.
• Create automation, runbooks, and self-healing capabilities to reduce MTTR.
• Design secure connectivity patterns between Azure and AWS vendor systems.
• Troubleshoot networking, VPN, private endpoints, DNS, and MFT integrations.
• Optimize Snowflake compute usage and Airflow/dbt performance.

Requirements

• 7+ years in Site Reliability Engineering, DevOps, or Platform Engineering roles.
• 5+ years owning Terraform at scale, including module design, lifecycle management, and supporting multiple teams through IaC abstractions.
• Deep, hands-on Azure expertise is required.
• AWS experience is a plus.
• Experience operating cloud-based data platforms (Snowflake, Airflow, etc.).
• Strong hands-on experience operating Kubernetes in production environments.
• Expert GitHub knowledge.
• Strong troubleshooting skills across distributed systems, networking, and data pipelines.
• Proficient in Python, Bash, PowerShell; able to read SQL and YAML/JSON.

Tech Stack

• Airflow
• AWS
• Azure
• Cloud
• Distributed Systems
• DNS
• Kubernetes
• Python
• SQL
• Terraform

Benefits

• Flexible Vacation Policy
• 80 hours of Paid Sick, Safe, and Caregiver Leave annually