Distinguished Engineer (AI Infrastructure)

Location: US - Headquarters; on-site

Company

hirify.global builds high-performance infrastructure for demanding artificial intelligence workloads across silicon, systems, and networking.

What you will do

• Set and implement the multi-year technical vision for the platform through competency analysis, working prototypes, production code, and cross-functional delivery.
• Design distributed control planes connecting cloud services with on-premise edge appliances through mTLS gRPC streams.
• Build large-scale observability and telemetry pipelines using OpenTelemetry, Kafka, time-series storage, real-time fabric views, packet-event analysis, and fleet health aggregation.
• Develop autonomous infrastructure agents for onboarding, upgrades, drift remediation, failure recovery, and tool-based control-plane interactions.
• Lead fleet orchestration, multi-tenant SaaS architecture, device lifecycle management, and intent compilation with verification and rollback.
• Partner with Product, Customer Engineering, and engineering teams while reviewing critical code and communicating architectural decisions to technical and executive audiences.

Requirements

• 18–20+ years of experience building and operating distributed systems for enterprise customers across cloud and on-premise environments.
• Deep proficiency in Go or a comparable systems language, with strong distributed systems fundamentals.
• Experience with observability platforms, microservices, gRPC, Protocol Buffers, OpenAPI, streaming systems, and multiple storage paradigms.
• Track record building multi-tenant platforms with tenant isolation, RBAC, identity federation, and hybrid cloud/on-premise deployment models.
• Experience with Kubernetes and Helm, strong API versioning and backward-compatibility practices, and high-stakes build-versus-integrate decisions.
• Hands-on ability to build prototypes, write production code, review critical pull requests, and communicate architecture through writing and diagrams.

Nice to have

• AI/ML agent architectures for infrastructure operations, including LangGraph, AutoGen, MCP tool use, and human-in-the-loop workflows.
• Network automation, datacenter networking, OpenConfig, gNMI, or large-scale fabric management.
• Hub-and-spoke, edge computing, or control-plane/data-plane separation architectures.
• OpenTelemetry contributor experience, device enrollment systems, open-source contributions, or published distributed-systems work.

Culture & Benefits

• Work in a talent-dense, high-performing engineering environment focused on ownership, technical rigor, and speed.
• Build foundational infrastructure with immediate impact on demanding AI workloads.
• Access an accessible hiring process with accommodations available upon request.
• Work for a company backed by more than $300M in funding and experiencing rapid global adoption.