CloudOps / Site Reliability Engineer

About Autonomize AI Autonomize AI is revolutionizing healthcare by streamlining knowledge workflows with AI. We reduce administrative burdens and elevate outcomes, empowering professionals to focus on what truly matters — improving lives. We're growing fast and looking for bold, driven teammates to join us. The Opportunity We’re looking for a CloudOps / Site Reliability Engineer to lead the charge in building a fully automated, secure, and scalable multi-cloud infrastructure for our AI-powered healthcare platform. Your mission: keep our deployments lightning-fast, reliable, and invisible. You’ll own the orchestration of services across AWS, Azure, and GCP, automating everything from infra provisioning to rollbacks — with security and uptime built in. This is a builder role — ideal for someone who can go deep into CI/CD, lives for IaC, and thinks deployment velocity is just as important as resiliency. Key Responsibilities Multi-Cloud Infra Management: Design and manage highly available, scalable, and secure infrastructure across AWS, Azure, and GCPEnd-to-End Automation: Build deployment workflows using Terraform, Ansible, Helm, ArgoCD, GitHub Actions or equivalentCI/CD at Scale: Own automated delivery pipelines for infrastructure and applications across staging and productionReliability Engineering: Define and uphold SLAs/SLOs; own incident management, blameless postmortems, and error budgetsSecurity & Compliance: Implement and continuously harden controls for HIPAA, SOC2, and zero-trust environmentsMonitoring & Observability: Deploy and maintain logs, metrics, and alerting systems using Prometheus, Grafana, Datadog, etc.Documentation & Process: Create robust runbooks, architectural diagrams, and continuous improvement loopsInstallation and configuration of AI Platform and Solutions at customer deployments Support in various IT / Info sec discussions and reviews with customersGuide the offshore team as necessary and help with automation of deployments Must-Have Qualifications 5+ years in SRE/CloudOps roles with production-grade infrastructure experienceExpertise in AWS, and solid hands-on experience in Azure and GCPProven track record with Infrastructure as Code (Terraform preferred) and modern deployment frameworksDeep CI/CD experience including automated rollbacks, blue/green or canary deploymentsSkilled in Kubernetes, Docker, and container orchestrationExperience with secure cloud architectures, RBAC, IAM, and secrets managementBias for automation — scripting in Python, Bash, or GoCulture fit: you take full ownership, run toward complexity, and operate in the final mile  Bonus Prior experience supporting healthtech, life sciences, or other regulated domainsImplemented policy-as-code tools like OPA/GatekeeperExperience running GPU workloads, ML pipelines, or scalable microservicesContributions to open-source DevOps/SRE communities What We Offer A chance to make a real impact in the future of healthcareAutonomy, ownership, and the ability to chart your own growth pathCompetitive compensation and benefits100% employer-paid health, vision, and dental insuranceRetirement plans (401k), disability insurance, employee assistance programs How To Apply Please submit your resume and a brief cover letter to careers@autonomize.ai explaining why you are the ideal candidate for this role. We are excited to meet someone who is eager to bring their skills, enthusiasm, and creativity to our team!