CloudOps / SRE Engineer

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.

About the role

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.

Responsibilities

• 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

Requirements

• 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

Skills

• 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

Benefits

• 100% employer-paid health, vision, and dental insurance
• Retirement plans (401k)
• Disability insurance
• Employee assistance programs