- 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
- 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
Skills Required
- 5+ years of experience in SRE or CloudOps roles with production-grade infrastructure experience
- Expertise in AWS and hands-on experience with Azure and GCP
- Experience with Infrastructure as Code, preferably Terraform, and modern deployment frameworks
- Deep CI/CD experience, including automated rollbacks and blue/green or canary deployments
- Experience with Kubernetes, Docker, and container orchestration
- Experience with secure cloud architectures, RBAC, IAM, and secrets management
- Scripting experience in Python, Bash, or Go
- Prior experience supporting healthtech, life sciences, or other regulated domains
- Experience implementing policy-as-code tools such as OPA or Gatekeeper
- Experience running GPU workloads, ML pipelines, or scalable microservices
- Contributions to open-source DevOps or SRE communities
What We Do
Autonomize AI Agents & Copilots organize, contextualize and summarize unstructured data to reduce the administrative burden for healthcare knowledge workers to make data-driven decisions and improve patient outcomes. Our customers include health plans, providers and life sciences companies. Unlike generic AI systems retrofitted for healthcare, Autonomize deeply understands medical contexts, terminologies, and operational nuances. Our healthcare-focused AI Agents & Copilots augment knowledge work, drastically reducing administrative burden. Care management teams spend 78% less time per case, achieving an impressive 85% boost in case review efficiency. Prior authorization processes that traditionally take 20-30 minutes shrink to mere seconds, accompanied by an 80% reduction in manual errors, saving millions of dollars annually. Our AI Agents turn chaotic, unstructured healthcare data—clinical notes, PDFs, faxes, and claims—into structured, contextual information that informs decisions and actions. This has driven substantial real-world impact: organizations using Autonomize experience a 92% reduction in manual effort for care gaps and HEDIS chart reviews, dramatically improving compliance and STAR ratings. Autonomize AI is purpose-built for healthcare, transforming healthcare operations one workflow at a time through AI-native solutions that deliver immediate, scalable impact.
