Senior Software Engineer, Cloud Reliability (AI)

Location: Redwood City, United States; hybrid workplace. Occasional early morning or evening syncs may be required for collaboration across APAC.

Company

hirify.global is a fast-growing startup developing vector database technology and cloud infrastructure for enterprise AI applications.

What you will do

• Own the reliability, availability, and production stability of hirify.global Cloud.
• Debug production issues across Kubernetes, cloud infrastructure, networking, storage, and distributed database systems.
• Build automation and diagnostic tooling for log analysis, alert correlation, incident investigation, runbook automation, and remediation.
• Turn recurring incidents into reusable tools, documentation, automation, and product improvements.
• Improve observability for latency, availability, throughput, and resource efficiency.
• Partner with database and infrastructure engineers to improve reliability, scalability, and automation.

Requirements

• 3+ years of experience building or operating production cloud systems, infrastructure platforms, database systems, or large-scale online services.
• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• Hands-on experience with Kubernetes, Docker, and at least one major cloud platform: AWS, GCP, or Azure.
• Strong understanding of distributed systems, availability, scalability, performance, failure recovery, and operational trade-offs.
• Experience with multi-tenant systems or large infrastructure fleets is valuable.
• Familiarity with Terraform, Helm, Argo CD, Prometheus, Grafana, and CI/CD systems.

Nice to have

• Experience with distributed databases, storage systems, search systems, or large-scale online systems.
• Experience operating thousands of nodes, clusters, tenants, or customer deployments.

Culture & Benefits

• High ownership of production reliability from end to end.
• High autonomy, trust, and minimal process.
• Fast-paced environment with frequent shipping and a focus on execution.
• Globally distributed collaboration with an on-call setup designed around timezone coverage rather than overnight pages.