Senior Infrastructure Engineer (AI)

Location: San Francisco, CA; on-site

Salary: $168,000–$213,000 per year plus equity

Company

hirify.global provides an AI-native operations platform for regulated financial institutions, covering compliance, risk, fraud, and back-office operations using customer data and policies.

What you will do

• Own and evolve Kubernetes infrastructure, including cluster management, service mesh configuration, and container security policies.
• Design progressive delivery pipelines with canary deployments, automated rollbacks, and deployment health validation.
• Build and maintain Datadog observability infrastructure, including dashboards, monitors, SLOs, and distributed tracing.
• Lead incident response for high-severity outages and model capacity requirements for low-latency AI inference.
• Architect secure on-premises and cloud infrastructure using Infrastructure-as-Code, including VPCs, IAM policies, Kubernetes manifests, and private-cloud deployments.
• Lead enterprise customer rollouts, support SOC 2 infrastructure controls, and mentor mid-level engineers.

Requirements

• 8+ years of experience in infrastructure engineering or DevOps at high-growth or hyperscale companies.
• Production experience managing Docker and Kubernetes clusters, including Helm and service mesh technologies.
• Enterprise-scale experience with AWS, GCP, or Azure; AWS is preferred.
• Experience with Datadog or comparable observability platforms, including metrics, logs, APM, and distributed tracing.
• Strong Infrastructure-as-Code and safe deployment experience with Terraform, Helm, Kustomize, GitOps, progressive delivery, and automated rollbacks.
• Strong Python programming skills and experience leading outages, capacity events, and incident reviews.

Nice to have

• Familiarity with TypeScript.
• Experience preparing for or remediating SOC 2 or other compliance audits.
• Experience with private-cloud or on-premises deployments for regulated customers.
• Startup experience scaling infrastructure from early stages to enterprise level.
• Fintech or regulated-industry experience, including AI/ML infrastructure and model deployment at scale.

Culture & Benefits

• Work at the intersection of technical leadership, infrastructure as a product, and customer impact.
• Comprehensive healthcare, 401(k) matching, and commuter benefits.
• 15 days of paid time off plus holidays and unlimited sick days.
• Flexible leave options.
• DoorDash meals and Uber home coverage when working late.