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Senior niche SRE lead in a non-metro location reduces applicant competition.
Core SRE and cloud skills transferable across industries, but healthcare context moderately increases specificity.
Explicit 8-15 years, mandatory cloud, IaC, Kubernetes, and SRE practices increase strictness.
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Own reliability, scalability, and availability of healthcare AI platforms focusing on Production Engineering and Service Delivery.
Define and implement Support Strategy emphasizing Site Reliability Engineering (SRE) practices including setting SLOs, SLIs, and managing Error Budgets.
Lead and mentor support engineers, manage critical incident response, cloud automation, and coordinate cross-functional teams for multi-geography projects.
8-15 years of work experience in relevant technical leadership roles.
Strong experience with AWS/GCP cloud services and infrastructure including compute, networking, security, and storage.
Hands-on expertise in Python (Flask/Django/FastAPI) or Java (Spring Boot) development with debugging and performance tuning skills.
Experience with Kubernetes, Terraform, Ansible, CI/CD pipelines, and managing databases like PostgreSQL and NoSQL (Cassandra/MongoDB).
Senior engineer capable of strategic leadership and mentoring across diverse technical teams in 24/7 support environments.
Skilled in applying SRE principles for production-level health AI platforms with focus on high availability and automation.
Experienced in multi-cloud infrastructure, microservices architecture, and integrating observability tools for proactive issue management.