Qualified Health PBC
Senior DevOps Engineer
Palo Alto - Hybrid · Senior
Sponsorship not specifiedDetected 35 days ago
PythonGoBashGCPAzureCloud PlatformsKubernetesTerraformCI/CDDevOpsSite Reliability EngineeringTemporalLLMsRAGAI OrchestrationIncident ResponseComplianceZero TrustHIPAACommunicationArgo CD
About the role
- We're looking for a Senior DevOps Engineer / Site Reliability Engineer to ensure the reliability, performance, and operational excellence of our production environments powering AI solutions for major health systems.
Responsibilities
- Partner with engineering teams to ensure services are production-ready before release, including reviewing deployment patterns, failure modes, resource requirements, and rollback strategies
- Design and maintain observability infrastructure including metrics, logging, distributed tracing, and dashboards across multi-cloud environments
- Define and manage alerting policies, SLIs/SLOs, and on-call rotations to ensure timely response to production issues
- Lead and support incident response for production issues, drive root cause analysis, and coordinate hotfix deployments when needed
- Author and maintain release documentation, runbooks, incident postmortems, and operational playbooks
- Provide day-to-day operational support to engineering teams, unblocking deployments, debugging production issues, and improving developer experience around shipping to production
- Design and maintain zero trust network architectures, ensuring secure connectivity across multi-cloud environments and tenant boundaries
- Build and improve CI/CD pipelines and release processes to make production deployments safer, faster, and more predictable
- Develop automation in Python and Terraform to reduce toil and codify operational best practices
- Manage Kubernetes-based workloads in production, including troubleshooting cluster issues, optimizing resource utilization, and maintaining workload reliability
Requirements
- 6+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering, with at least 3 years directly managing production workloads
- Strong proficiency with Terraform including module development, state management, and multi-environment architectures
- Deep experience operating production Kubernetes environments, including troubleshooting, networking, workload management, and cluster operations
- Hands-on experience with both Google Cloud Platform and Microsoft Azure services
- Production experience with Temporal or comparable workflow orchestration systems
- Strong proficiency in Python for automation, tooling, and operational scripting
- Experience leading incident response, including on-call rotation management, runbook development, and postmortem processes
- Track record of partnering with engineering teams to improve production readiness and release practices
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience
Skills
- Experience in healthcare industry with understanding of HIPAA compliance requirements
- Familiarity with HITRUST or similar compliance frameworks
- Experience operating LLM-based systems, agentic workflows, or RAG pipelines in production
- Experience with GitOps workflows (Rancher Fleet, ArgoCD, or Flux)
- Experience building and operating multi-tenant SaaS infrastructure
- Familiarity with chaos engineering and reliability testing practices
- Prior experience as a founding or early SRE/Platform hire at a startup
- Google Cloud Platform (primary) and Microsoft Azure
- Google Kubernetes Engine (GKE)
- Terraform and Terragrunt
- Temporal for workflow orchestration
- Python, Go, Shell scripting
Compensation
- Pay & Benefits: The pay range for this role is between $170,000 and $220,000, and will depend on your skills, qualifications, experience, and location.
Benefits
- This role is also eligible for equity and benefits.
- Join our mission to revolutionize healthcare with AI.
- TRANSFORM HEALTHCARE WITH US.
- At Qualified Health, we're redefining what's possible with Generative AI in healthcare.
- Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring-working alongside leading health systems to drive real change.
- It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care.
- JOIN US IN SHAPING THE FUTURE OF HEALTHCARE.
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This listing is sourced directly from Qualified Health PBC's careers page and normalized into a canonical job model.