Senior Site Reliability Engineer (Data & ML Platform)

Location: United States

Company

hirify.global is a healthcare data collaboration platform that provides secure, accessible, and actionable data solutions for providers, health plans, researchers, and life sciences organizations.

What you will do

• Operate and improve Databricks and Snowflake platforms, including lifecycle automation, workspace governance, job orchestration, and cost optimization.
• Architect resilient, scalable, secure infrastructure across cloud environments, including failover, autoscaling, chaos testing, and capacity planning.
• Build platform-wide monitoring, alerting, and logging with Datadog and open tooling, and define SLOs and SLAs for critical services.
• Automate deployments of data pipelines, ML workflows, and infrastructure components using GitHub Actions, Terraform, and related infrastructure-as-code tools.
• Develop patterns for inter- and intra-cloud data movement across Snowflake, S3, Delta Lake, and Kafka.
• Partner with data, ML, analytics, and application engineering teams and contribute to data platform architecture and ML enablement strategy.

Requirements

• 6+ years of experience in SRE, platform engineering, or DevOps roles supporting data-intensive or ML-powered applications.
• Hands-on experience with Databricks, including workspace setup, cluster and job management, CI/CD integration, and data orchestration; experience with Snowflake.
• Strong knowledge of AWS or similar cloud-native infrastructure, including VPCs, IAM, event-driven patterns, and serverless computing.
• Expertise with observability solutions, especially Datadog, and platform-wide logging and monitoring.
• Strong command of CI/CD, GitHub Actions, Terraform, deployment automation, shell scripting, and Python.
• Experience building highly available, fault-tolerant systems and collaborating effectively across teams.

Nice to have

• DevSecOps experience with IaC security, CI/CD security, secret management, and audit logging.
• Experience with MLflow, feature stores, GPU workload orchestration, or large-scale Databricks and Snowflake lakehouse environments.
• Knowledge of Iceberg, Glue, Azure, multi-cloud or hybrid-cloud data environments, compliance-aware architecture, or open-source infrastructure projects.

Culture & Benefits

• Collaborative, high-performance environment focused on transforming healthcare through data logistics products and services.
• Equal employment opportunity workplace committed to inclusion and reasonable accommodations.
• Total rewards program for employees.
• Some client assignments may require post-offer health screenings and vaccination documentation.
• This job is not eligible for employment sponsorship.