Senior DevOps Engineer

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. This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board. Join us in shaping the future of healthcare. Job Summary 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. You'll partner closely with engineering teams to make services production-ready, own observability and incident response, and drive the practices that keep our platform stable as we scale. As a key member of our infrastructure team, you'll be the connective tissue between development and production, ensuring new features ship safely while maintaining the reliability standards required for healthcare workloads. Key Responsibilities Partner with engineering teams to ensure services are production-ready before release, including reviewing deployment patterns, failure modes, resource requirements, and rollback strategiesDesign and maintain observability infrastructure including metrics, logging, distributed tracing, and dashboards across multi-cloud environmentsDefine and manage alerting policies, SLIs/SLOs, and on-call rotations to ensure timely response to production issuesLead and support incident response for production issues, drive root cause analysis, and coordinate hotfix deployments when neededAuthor and maintain release documentation, runbooks, incident postmortems, and operational playbooksProvide day-to-day operational support to engineering teams, unblocking deployments, debugging production issues, and improving developer experience around shipping to productionDesign and maintain zero trust network architectures, ensuring secure connectivity across multi-cloud environments and tenant boundariesBuild and improve CI/CD pipelines and release processes to make production deployments safer, faster, and more predictableDevelop automation in Python and Terraform to reduce toil and codify operational best practicesManage Kubernetes-based workloads in production, including troubleshooting cluster issues, optimizing resource utilization, and maintaining workload reliabilityOperate Temporal workflows in production, including monitoring, scaling, and troubleshooting long-running workflow executionsCollaborate with security and compliance teams to maintain HIPAA and HITRUST controls across production environments Required Qualifications 6+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering, with at least 3 years directly managing production workloadsStrong proficiency with Terraform including module development, state management, and multi-environment architecturesDeep experience operating production Kubernetes environments, including troubleshooting, networking, workload management, and cluster operationsHands-on experience with both Google Cloud Platform and Microsoft Azure servicesStrong networking and security knowledge, including zero trust architectures, network segmentation, private connectivity, identity-based access controls, and secrets managementProduction experience with Temporal or comparable workflow orchestration systemsStrong proficiency in Python for automation, tooling, and operational scriptingDemonstrated experience designing and operating observability stacks including metrics, logging, tracing, and alertingExperience leading incident response, including on-call rotation management, runbook development, and postmortem processesTrack record of partnering with engineering teams to improve production readiness and release practicesExcellent written communication skills for authoring runbooks, postmortems, and release documentationBachelor's degree in Computer Science, Engineering, or related field, or equivalent experience Desirable Skills Experience in healthcare industry with understanding of HIPAA compliance requirementsFamiliarity with HITRUST or similar compliance frameworksExperience operating LLM-based systems, agentic workflows, or RAG pipelines in productionExperience with GitOps workflows (Rancher Fleet, ArgoCD, or Flux)Experience building and operating multi-tenant SaaS infrastructureFamiliarity with chaos engineering and reliability testing practicesPrior experience as a founding or early SRE/Platform hire at a startup Technical Environment Our Infrastructure Is Built On Modern Cloud Technologies Including Google Cloud Platform (primary) and Microsoft AzureGoogle Kubernetes Engine (GKE)Terraform and TerragruntTemporal for workflow orchestrationPython, Go, Shell scriptingGitOps-based deployment workflowsModern monitoring and observability tools Why Join Qualified Health? This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers. Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation. Our Commitment to Diversity Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status. 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. This role is also eligible for equity and benefits. Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.