Software Engineer, Infrastructure, AI Labs

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

Salary: $145,000–$195,000 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.

What you will do

• Design and implement Azure cloud infrastructure with Terraform, reusable modules, environment topology, and drift detection.
• Operate production Kubernetes, including autoscaling, resource governance, network policies, upgrades, and cluster lifecycle management.
• Build CI/CD and release infrastructure with progressive delivery, rollback mechanisms, and efficient paths to production.
• 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 engineering, or site reliability engineering.
• Experience building and operating production infrastructure, including on-call responsibility and incident command.
• Hands-on experience with a major cloud platform and Terraform module design.
• Production Kubernetes experience with scaling, upgrades, resource limits, network policy, and troubleshooting.
• Experience owning CI/CD pipelines using GitHub Actions, Azure DevOps, or a comparable platform.
• Experience with Prometheus, Grafana, OpenTelemetry, service-level objectives, secrets and certificate management, and proficiency in Python, Go, or a comparable language.

Culture & Benefits

• Work in a highly collaborative, deeply technical environment with rapid iteration and end-to-end ownership.
• Partner with backend engineering, AI engineering, product management, and security.
• Access enterprise-wide learning and mobility opportunities.
• Work in an environment that supports flexibility and respects life beyond work.