Senior Infrastructure Engineer (AI)

Location: San Francisco, California; remote-first within the United States. The role includes a weekly on-call rotation.

Base salary: $205,000–$245,000 annually.

Company

hirify.global provides AI-powered intelligence solutions that help public and private sector agencies investigate illicit activity, disrupt crime, and secure financial and government operations.

What you will do

• Build and operate multi-region, multi-cloud Kubernetes infrastructure across US GCP, EU GCP, and AWS GovCloud.
• Extend a self-service internal PaaS used by more than 60 engineers through golden paths, guardrails, and developer-facing interfaces.
• Build secure sandboxes and operational skills that enable AI agents to build, ship, and increasingly operate the platform.
• Replace long-lived secrets with short-lived dynamic credentials using Vault and zero-trust principles.
• Own reliability engineering through SLOs, error budgets, observability, disaster recovery, and validated cross-region restores with sub-hour RTO.
• Develop database platform capabilities including Postgres on Kubernetes, migrations, replication, redundancy, and compliance-as-code for SOC2 and FedRAMP.

Requirements

• Experience taking infrastructure from zero to one by designing and shipping platform capabilities used by other engineers.
• Ability to write production software in Go, Python, or a similar language for tooling, automation, and services.
• Deep experience with GCP and/or AWS, including compute, IAM, VPC, networking, storage, and load balancing, with comfort operating across clouds.
• Production Kubernetes experience with GKE and/or EKS and current infrastructure-as-code practices.
• Ability to independently diagnose low-level networking, node capacity, database query, and deployment problems.
• Fluency with GitOps tools such as Argo or Flux, containers, CI/CD, and SLO-based observability.
• Strong security and database fundamentals, including zero trust, secret management, systems hardening, and production database provisioning and migration.
• Participation in a weekly on-call rotation.

Nice to have

• Exposure to SOC2 and FedRAMP.

Culture & Benefits

• Remote-first work within the United States, with a small, high-leverage team.
• High ownership, low ego, mission-first collaboration, and responsibility for outcomes end to end.
• Fast execution in an environment that combines urgency with security and reliability standards.
• Work at the intersection of AI, national security, and crime prevention, with significant ambiguity and evolving priorities.
• Close cross-functional collaboration, frequent communication, continuous feedback, and creative problem-solving.

Hiring process

• Apply directly and highlight the experience and impact demonstrating the required qualifications; provide thoughtful and accurate answers to the application questions.
• The process typically includes a recruiter introduction, hiring-manager interview, first-round skills interviews, a hands-on case study, references, and an offer discussion.
• AI fluency is evaluated during the process. Use of external AI tools during interviews is not permitted without prior approval.