Snowflake)

Teladoc Health•McCullom Lake, IL

1d•Remote

About The Position

Join the team leading the next evolution of virtual care. At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives. Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we’re transforming how better health happens. Summary of Position We’re looking for a Senior Platform Engineer/SRE to own reliability, automation, and infrastructure-as-code for our modern Data & AI platform. In this role, you’ll ensure our Azure-based data ecosystem is reliable, scalable, and efficient. You’ll build Terraform-first infrastructure, improve developer experience, and support a healthcare environment where uptime and data reliability directly impact patient care.

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 (designing and operating production systems, not just familiarity).
Experience operating cloud-based data platforms (Snowflake, Airflow, etc.).
Strong hands-on experience operating Kubernetes in production environments, including cluster management, networking, scaling, and reliability.
Expert GitHub knowledge (pull requests, Actions, branching strategies).
Strong troubleshooting skills across distributed systems, networking, and data pipelines.
Proficient in Python, Bash, PowerShell; able to read SQL and YAML/JSON.

Nice To Haves

AWS experience is a plus.
Healthcare data experience (FHIR, HL7, claims data).
Kafka experience, dbt administration, BI tools (PowerBI/Tableau).
Experience with data quality frameworks and synthetic data generation.
Policy-as-code tools (Sentinel, OPA, Checkov).

Responsibilities

Build and maintain Terraform modules for data platform services (Snowflake, Airbyte, Astronomer, dbt, Kafka).
Develop IaC standards, GitOps workflows, and automated CI/CD pipelines using GitHub Actions.
Migrate manual configurations to fully codified infrastructure and enable self‑service provisioning for engineers.
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.
Build CI/CD pipelines using GitHub Actions for infrastructure changes with comprehensive testing (terraform plan, validate, compliance checks).
Implement policy-as-code using tools like Sentinel, OPA, or Azure Policy integrated into GitHub workflows.
Develop testing frameworks for infrastructure code (Terratest, kitchen-terraform) with automated execution in GitHub Actions.
Improve abstractions and tooling to streamline development workflows.
Optimize Snowflake compute usage and Airflow/dbt performance.
Apply cloud cost management practices and tagging strategies.
Support capacity planning and forecasting.
Lead complex troubleshooting efforts across distributed systems spanning multiple cloud providers.
Debug integration issues with Kafka streams, CDC patterns, and real-time data pipelines.
Resolve platform-wide incidents involving Snowflake, Astronomer, Airbyte, and downstream BI tools (PowerBI, Tableau, Cube Cloud).
Partner with vendors for escalated support cases and coordinate resolution across multiple teams.