Staff Service Reliability and Operational Intelligence Engineer (AI Ops)

Location: Santa Clara, California, United States; hybrid schedule with a few remote days per week. Travel up to 25%. Access to export-controlled technology requires U.S. Person status, an applicable license, or a confirmed license exception.

Company

hirify.global develops quantum computing platforms and integrated quantum solutions for computing, networking, sensing, and security.

What you will do

• Define the technical strategy and multi-year roadmap for operational excellence, production readiness, and service reliability.
• Build and govern shared observability platforms covering logs, metrics, distributed traces, profiles, dashboards, alerts, synthetic monitoring, and telemetry quality.
• Establish service ownership, SLI/SLO, error-budget, incident-management, escalation, and on-call standards across production services.
• Lead high-severity incident response, blameless post-incident reviews, systemic remediation, resilience exercises, disaster recovery, and validated failovers.
• Manage capacity forecasting, performance testing, Kubernetes and cloud resources, scaling thresholds, rightsizing, and operational efficiency.
• Design secure AI Ops and AI-agent workflows for event correlation, predictive detection, root-cause analysis, triage, remediation, and controlled self-healing.

Requirements

• 8+ years of production engineering, site reliability engineering, platform engineering, or cloud operations experience, including recent hands-on reliability work.
• Experience designing and operating large-scale fault-tolerant systems on AWS or GCP.
• Deep knowledge of distributed systems, cloud infrastructure, Kubernetes, networking, CI/CD, and production failure modes.
• Hands-on experience with observability architecture, instrumentation, metrics, logs, traces, SLIs, SLOs, and error budgets.
• Experience commanding SEV1 or SEV2 incidents, conducting failure experiments and disaster-recovery exercises, and driving systemic remediation.
• Strong automation and software engineering skills with Python or Go, infrastructure as code, and modern delivery toolchains; ability to lead across teams without direct authority.

Nice to have

• Experience designing AI Ops, autonomous remediation, self-healing workflows, and governed AI-agent integrations with operational platforms.
• Experience with Amazon Bedrock AgentCore or comparable agentic automation frameworks.
• Knowledge of FinOps, telemetry cost management, capacity optimization, load balancing, global traffic management, and highly available service design.
• Experience with canary deployments, blue-green deployments, automated rollback, feature flags, and global follow-the-sun on-call models.

Culture & Benefits

• Autonomy, productivity, respect, and an inclusive environment focused on removing barriers.
• Medical, dental, and vision coverage with matching 401(k).
• Unlimited paid time off, paid holidays, and parental/adoption leave.
• Legal insurance and a home technology stipend.
• Total compensation includes base salary, bonus, equity, and benefits.