Build and operate secure, scalable multi-cloud infrastructure across AWS, Azure, and GCP. Own infrastructure automation, CI/CD pipelines, Kubernetes deployments, reliability engineering, observability, incident management, security controls, and compliance. Install and configure AI platforms for customers, support IT and information security reviews, document operational processes, and guide offshore teams. The role requires strong Infrastructure as Code, deployment automation, cloud security, container orchestration, and scripting expertise.
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.
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.
- Multi-Cloud Infra Management: Design and manage highly available, scalable, and secure infrastructure across AWS, Azure, and GCP
- End-to-End Automation: Build deployment workflows using Terraform, Ansible, Helm, ArgoCD, GitHub Actions or equivalent
- CI/CD at Scale: Own automated delivery pipelines for infrastructure and applications across staging and production
- Reliability Engineering: Define and uphold SLAs/SLOs; own incident management, blameless postmortems, and error budgets
- Security & Compliance: Implement and continuously harden controls for HIPAA, SOC2, and zero-trust environments
- Monitoring & Observability: Deploy and maintain logs, metrics, and alerting systems using Prometheus, Grafana, Datadog, etc.
- Documentation & Process: Create robust runbooks, architectural diagrams, and continuous improvement loops
- Installation and configuration of AI Platform and Solutions at customer deployments
- Support in various IT / Info sec discussions and reviews with customers
- Guide the offshore team as necessary and help with automation of deployments
Must-Have Qualifications
- 5+ years in SRE/CloudOps roles with production-grade infrastructure experience
- Expertise in AWS, and solid hands-on experience in Azure and GCP
- Proven track record with Infrastructure as Code (Terraform preferred) and modern deployment frameworks
- Deep CI/CD experience including automated rollbacks, blue/green or canary deployments
- Skilled in Kubernetes, Docker, and container orchestration
- Experience with secure cloud architectures, RBAC, IAM, and secrets management
- Bias for automation — scripting in Python, Bash, or Go
- Culture fit: you take full ownership, run toward complexity, and operate in the final mile
Bonus - Prior experience supporting healthtech, life sciences, or other regulated domains
- Implemented policy-as-code tools like OPA/Gatekeeper
- Experience running GPU workloads, ML pipelines, or scalable microservices
- Contributions to open-source DevOps/SRE communities
- A chance to make a real impact in the future of healthcare
- Autonomy, ownership, and the ability to chart your own growth path
- Competitive compensation and benefits
- 100% employer-paid health, vision, and dental insurance
- Retirement plans (401k), disability insurance, employee assistance programs
Please submit your resume and a brief cover letter to [email protected] 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!
Autonomize AI Austin, Texas, USA Office
Austin, Texas, United States
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