Software Engineer, Infrastructure, AI Labs (AI)

Location: New York, NY; in-office 3–4 days per week. Must be authorized to work in the United States for any employer.

Salary: $145,000–$200,000 USD annually, with potential eligibility for an annual bonus.

Company

hirify.global AI Labs is an innovation and engineering hub building an AI platform for corporate legal departments and global law firms, including intelligent agents, reasoning engines, knowledge systems, and structured workflows.

What you will do

• Design and implement cloud infrastructure with Terraform, reusable modules, environment topology, and drift detection.
• Operate production Kubernetes clusters, including orchestration, autoscaling, resource governance, network policies, upgrades, and lifecycle management.
• Build CI/CD and release infrastructure with progressive delivery, rollback mechanisms, and efficient deployment paths.
• Define service-level objectives and implement metrics, tracing, alerting, and error-budget practices.
• Implement security and compliance infrastructure covering hardening, audit logging, data residency, retention, legal hold, and audit evidence.
• Maintain networking, secrets, key, credential, TLS, and certificate-lifecycle infrastructure while contributing to incident response and operational readiness.

Requirements

• 3+ years of experience in infrastructure, platform, or site reliability engineering.
• Production infrastructure ownership, including on-call responsibility and incident-command experience.
• Hands-on experience with Azure, AWS, or GCP and infrastructure as code, particularly Terraform.
• Production Kubernetes experience, including scaling, upgrades, resource limits, network policy, and troubleshooting.
• Experience owning CI/CD pipelines, observability tooling, service-level objectives, secrets and certificate management.
• Proficiency in Python, Go, or a comparable language, plus system-design, architecture, and technical documentation experience.

Culture & Benefits

• Collaborative, deeply technical environment with rapid iteration and end-to-end ownership.
• Startup-like autonomy backed by the resources of a global legal services provider.
• Enterprise-wide learning and internal mobility opportunities.
• Flexibility and support for life beyond work.
• Employment eligibility verification is required upon hire.