Staff Infrastructure Software Engineer (Enterprise AI)

TL;DR

Staff Infrastructure Software Engineer (Enterprise AI): Architecting and implementing multi-cloud infrastructure for enterprise knowledge retrieval, inference engines, and agentic workflows with an accent on reliability, security, observability, and scalable deployment standards. Focus on designing secure data isolation strategies, building infrastructure-as-code automation, and solving complex challenges in low-latency multi-agent orchestration across AWS, Azure, and GCP.

Location: New York, NY; San Francisco, CA

Salary: $216,200–$270,250 USD base salary for eligible full-time positions in San Francisco, New York, and Seattle.

Company

hirify.global develops reliable AI systems, high-quality data, and full-stack technologies for organizations building and deploying enterprise and government AI applications.

What you will do

• Architect multi-cloud infrastructure and abstractions across AWS, Azure, and GCP.
• Define secure, reliable, and scalable deployment patterns for enterprise agentic workflows and multi-agent systems.
• Improve CI/CD, testing, data quality, reconciliation, anomaly detection, and overall infrastructure efficiency.
• Build and maintain observability systems covering logging, metrics, tracing, analytics, and incident response.
• Lead infrastructure roadmap decisions involving compliance, privacy, change management, and customer-specific data isolation.
• Develop automated tooling and promote infrastructure-as-code practices across engineering teams.

Requirements

• 5+ years of full-time software engineering experience in a senior-level role.
• Strong knowledge of CI/CD, infrastructure as code, Terraform, Helm, Kubernetes, and observability platforms such as Datadog, Prometheus, or Grafana.
• Extensive experience with at least one major cloud provider: AWS, Azure, or GCP.
• Experience with enterprise security and compliance, including access management, data isolation, and customer-specific VPC configurations.
• Proficiency in Python or JavaScript/TypeScript and SQL.
• Must work in the United States, with listed locations including New York, San Francisco, and Seattle.

Nice to have

• Hands-on experience with AI agents, LLMs, vector databases, or other emerging AI technologies.
• Passion for applying AI platforms to infrastructure analysis and engineering improvement.

Culture & Benefits

• Inclusive and equal-opportunity workplace supporting employees in bringing their whole selves to work.
• Comprehensive health, dental, and vision coverage.
• Retirement benefits, learning and development stipend, and generous paid time off.
• Potential commuter stipend and equity compensation for eligible roles.
• Reasonable accommodations available throughout the application and recruiting process.