
201 - 500 employees
Founded 2021
🏥 Healthcare
☁️ SaaS
🤝 B2B
💰 $40M Series B - Certify on 2025-06
Healthcare • SaaS • B2B
CertifyOS is a healthcare-focused provider data platform that consolidates and verifies provider information to create a single, AI-enabled source of truth. It replaces spreadsheets and point solutions with infrastructure for credentialing, contracting, payments, compliance, and provider data management, offering services like credentialing, licensing, monitoring, and roster management. The platform ingests rosters and real-time feeds, validates records against thousands of sources, and delivers a continuous, clean data stream accessible via one API. CertifyOS is positioned as a B2B SaaS solution for health plans, digital health companies, and health systems, claiming measurable operational improvements (e. g. , reduced re-credentialing costs, faster onboarding) and listing major health plans among its clients.
🔥 3 hours ago
Cloud
Distributed Systems
Google Cloud Platform
Grafana
Java
Linux
Microservices
Node.js
Prometheus
Python
React
Terraform
TypeScript
Go
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201 - 500 employees
Founded 2021
🏥 Healthcare
☁️ SaaS
🤝 B2B
💰 $40M Series B - Certify on 2025-06
Healthcare • SaaS • B2B
CertifyOS is a healthcare-focused provider data platform that consolidates and verifies provider information to create a single, AI-enabled source of truth. It replaces spreadsheets and point solutions with infrastructure for credentialing, contracting, payments, compliance, and provider data management, offering services like credentialing, licensing, monitoring, and roster management. The platform ingests rosters and real-time feeds, validates records against thousands of sources, and delivers a continuous, clean data stream accessible via one API. CertifyOS is positioned as a B2B SaaS solution for health plans, digital health companies, and health systems, claiming measurable operational improvements (e. g. , reduced re-credentialing costs, faster onboarding) and listing major health plans among its clients.
• Own the operational lifecycle end-to-end and influence platform architecture, reliability standards, and deployment workflows across systems that matter. • Design for reliability and ship automation; stand behind it in production. • Work across cloud-native infrastructure on systems that process millions of provider records. • Participate in incident response processes, root cause analysis, escalation workflows, and runbooks. • Build and maintain Infrastructure as Code, CI/CD pipelines, and operational tooling that reduce manual work and improve engineering productivity without sacrificing reliability. • Maintain uptime, reduce alert fatigue, and build actionable observability across GKE and Cloud Run without drowning in noise. • Scale infrastructure efficiently, improve autoscaling behavior, resource utilization, and workload efficiency across cloud-native distributed systems.
• 5+ years in SRE, DevOps, Platform Engineering, or Infrastructure Engineering — operating production systems at scale where your infrastructure is someone else’s dependency and failures have real downstream consequences • Track record of improving reliability end-to-end: you’ve debugged hard production problems, made them not happen again, and built the alerting to prove it • Strong Linux systems administration, incident response, and root cause analysis skills • Comfort influencing operational standards and mentoring teams on reliability practices • 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 rather than noisy • Experience designing SLIs, SLOs, error budgets, alerting strategies, dashboards, and escalation workflows • Hands-on experience with observability platforms: Google Cloud Monitoring, Datadog, Grafana, Prometheus, or similar • Strong sense of data platform health: lineage, freshness, and correctness matter as much to you as throughput • Experience building and maintaining CI/CD pipelines using GitHub Actions or similar • Scripting or programming fluency in Python, Bash, Go, or similar — you reduce toil through code, not process • Experience working with Git workflows and modern software delivery practices • Strong written and verbal communication — you can explain an operational risk to an engineer and a product manager in the same conversation • Experience operating systems handling sensitive data or PII in regulated or compliance-adjacent environments • Nice to Have: • - Experience operating large-scale distributed systems or microservices architectures • - Familiarity with healthcare, credentialing, or health-tech environments • - Experience leveraging AI-assisted observability or incident response tooling • - Familiarity with NodeJS, TypeScript, Java, or React application stacks.
• Your well-being matters to us. • We provide 100% coverage of health, dental, and vision insurance premiums for employees. • Our US-based team benefits from unlimited PTO, with at least two weeks off each year to recharge. • In India, employees are supported with health insurance, statutory leave benefits, and additional wellness (menstrual) leave for women.
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