Senior DevOps Engineer / Site Reliability Engineer (AI)

Location: Palo Alto, United States — hybrid

Salary: $170,000–$220,000 per year, plus equity and benefits

Company

hirify.global builds healthcare infrastructure for safe generative AI governance, healthcare-specific agents, and real-time algorithm monitoring.

What you will do

• Partner with engineering teams to assess production readiness, deployment patterns, failure modes, resource requirements, and rollback strategies.
• Design and maintain observability infrastructure covering metrics, logging, distributed tracing, dashboards, and alerting across multi-cloud environments.
• Define SLIs/SLOs, manage on-call rotations, lead incident response, coordinate hotfixes, and drive root cause analysis.
• Build release documentation, runbooks, postmortems, operational playbooks, and developer-experience improvements.
• Operate Kubernetes and Temporal workloads in production, including troubleshooting, scaling, and resource optimization.
• Design secure zero-trust network architectures and improve CI/CD pipelines using Python and Terraform.

Requirements

• 6+ years of experience in SRE, DevOps, or infrastructure engineering, including at least 3 years managing production workloads.
• Strong Terraform and Python skills, with experience in module development, state management, automation, and operational tooling.
• Deep production Kubernetes experience and hands-on experience with Google Cloud Platform and Microsoft Azure.
• Strong networking and security knowledge, including zero-trust architecture, segmentation, private connectivity, identity-based access controls, and secrets management.
• Production experience with Temporal or comparable workflow orchestration systems, plus observability and incident-response ownership.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.

Nice to have

• Healthcare experience and familiarity with HIPAA, HITRUST, or similar compliance frameworks.
• Experience operating LLM-based systems, agentic workflows, or RAG pipelines in production.
• Experience with GitOps, multi-tenant SaaS infrastructure, chaos engineering, or reliability testing.
• Prior experience as a founding or early SRE/platform hire at a startup.

Culture & Benefits

• Mission-driven work focused on improving healthcare with AI.
• Competitive salary, equity package, and medical, dental, and vision insurance.
• Flexible working hours and hybrid work options.
• Inclusive environment focused on creativity, innovation, and diverse perspectives.

Hiring process

• Submit a resume through the application process.