CloudOps / SRE Engineer

Capital Factory; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

100% employer-paid health, vision, and

dental insurance

401k & retirement plans

Job summary

Autonomize AI in Austin is seeking a CloudOps / Site Reliability Engineer to own a scalable, secure multi-cloud platform across AWS, Azure, and GCP. You will drive infrastructure as code, deployment pipelines, and resilient architectures to minimize downtime.

Responsibilities include managing SLAs/SLOs, incident response, and implementing robust security controls while collaborating with product and security teams. This is a hands-on build role with high ownership.

Qualifications

• 5+ years in SRE/CloudOps with production-grade infra
• Proven multi-cloud expertise (AWS, Azure, GCP)
• Infrastructure as Code (Terraform preferred)
• Strong CI/CD with automated rollbacks and canary deployments
• Kubernetes, Docker, container orchestration
• Secure cloud architectures, RBAC/IAM, secrets management
• Scripting in Python, Bash, or Go

Responsibilities

• Design and manage highly available, scalable infra across AWS, Azure, and GCP
• Build deployment workflows using Terraform, Ansible, Helm, ArgoCD, GitHub Actions
• Own automated delivery pipelines for infra and apps across staging and production
• Define and uphold SLAs/SLOs; incident management and blameless postmortems
• Implement and harden security controls for HIPAA, SOC2, zero-trust
• Deploy and maintain monitoring with Prometheus, Grafana, Datadog
• Create runbooks and diagrams; drive continuous improvement
• Support AI platform installations at customer deployments

Skills

SRE/CloudOps

AWS

Azure

GCP

Terraform

CI/CD

Kubernetes

RBAC/IAM

Python/Bash/Go

Tools

Terraform

Ansible

Helm

ArgoCD

GitHub Actions

Job description

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 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

What we offer

• 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