Senior Site Reliability Engineer

📋 Job Overview

We’re looking for a Senior Site Reliability Engineer who takes ownership seriously — someone who designs for reliability, ships the automation, and stands behind it in production. You’ll work across cloud-native infrastructure on systems that process millions of provider records.

🏢 About CertifyOS

CertifyOS is building the data infrastructure that powers modern healthcare. Today, healthcare organizations rely on fragmented and outdated provider data. This creates unnecessary administrative work, regulatory risk, and higher costs across the system. We’re solving that problem.

Our API-first platform automates provider licensing, enrollment, credentialing, and network monitoring by connecting directly to hundreds of primary data sources. We help healthcare organizations maintain accurate, compliant, and reliable provider networks at scale.

Our vision is simple: One API. One provider ID. Frictionless provider data.

We’re backed by leading investors and built by a team with deep experience in provider data systems. At CertifyOS, we value authenticity, accountability, collaboration, results, and openness to feedback. We’re building a high-ownership team focused on solving real infrastructure problems that impact millions of patients.

🎯 The Role

This is a role with real scope: you’ll own the operational lifecycle end-to-end and influence platform architecture, reliability standards, and deployment workflows across systems that matter.

✅ Key Responsibilities

• Reliability and observability at scale: maintain uptime, reduce alert fatigue, and build actionable observability across GKE and Cloud Run
• Scaling infrastructure efficiently: improve autoscaling behavior, resource utilization, and workload efficiency across cloud-native distributed systems
• Incident response and operational maturity: own incident response processes, root cause analysis, escalation workflows, and runbooks
• Infrastructure automation and developer velocity: build and maintain Infrastructure as Code, CI/CD pipelines, and operational tooling
• Reliability engineering for data platforms: instrument data freshness and infrastructure health

📌 Required Qualifications

• 5+ years in SRE, DevOps, Platform Engineering, or Infrastructure Engineering — operating production systems at scale
• Track record of improving reliability end-to-end: debugged hard production problems and made them not happen again
• Strong Linux systems administration, incident response, and root cause analysis skills
• Deep hands-on experience with GCP — GKE, Cloud Run, and containerized workloads at scale
• Experience building and maintaining Infrastructure as Code with Terraform and/or Pulumi
• Fluency across deployment patterns and the judgment to know when each fits: rolling deployments, blue/green, canary — and the rollback story for each
• Experience with autoscaling, resource optimization, and infrastructure efficiency for distributed systems
• Experience managing infrastructure security, secrets, and access controls in regulated or security-conscious environments
• Strong understanding of Golden Signals monitoring — latency, traffic, errors, saturation — and how to make them actionable
• Hands-on experience with observability platforms: Google Cloud Monitoring, Datadog, Grafana, Prometheus, or similar
• Experience building and maintaining CI/CD pipelines using GitHub Actions or similar
• Scripting or programming fluency in Python, Bash, Go, or similar
• Strong written and verbal communication
• Experience operating systems handling sensitive data or PII in regulated or compliance-adjacent environments

🎁 Benefits

Competitive

🛂 Visa & Eligibility

Not specified