Senior Principal Engineer (AI Infrastructure)

Location: United States; on-site at headquarters

Company

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

What you will do

• Define cross-cutting architecture for platform-scale orchestration initiatives from vision through delivery.
• Build distributed control planes connecting cloud services with on-premise edge appliances through mTLS gRPC streams.
• Design observability and telemetry platforms using OpenTelemetry, Kafka, ClickHouse, VictoriaMetrics, real-time state views, and fleet-wide health aggregation.
• Build autonomous infrastructure agents for onboarding, upgrades, drift remediation, failure recovery, and multi-step workflow orchestration.
• Develop fleet orchestration, device lifecycle management, zero-touch provisioning, multi-tenant SaaS, RBAC, and enterprise identity integrations.
• Own data architecture and intent compilation workflows across relational, graph, time-series, key-value, streaming, and Git-backed storage systems.

Requirements

• 15–18 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.
• Production experience with microservices, gRPC, Protocol Buffers, OpenAPI, Kubernetes, Helm, and hybrid cloud/on-premise deployments.
• Experience designing observability platforms, stream-processing systems, time-series databases, alerting pipelines, and real-time dashboards at scale.
• Experience with multi-tenant platforms, tenant isolation, RBAC, identity federation, API versioning, backward compatibility, and contract-first development.
• Ability to lead cross-team technical initiatives, communicate architecture clearly, build POCs, write code, and own delivery outcomes.

Nice to have

• AI/ML agent architectures for infrastructure operations, including LangGraph, AutoGen, MCP, human-in-the-loop gating, and autonomous workflow orchestration.
• Network automation, infrastructure management platforms, datacenter networking, OpenConfig, gNMI, or fabric management at scale.
• Hub-and-spoke, edge computing, or control-plane/data-plane separation architectures.
• OpenTelemetry contributor experience, device enrollment systems, zero-touch provisioning, open-source contributions, or published distributed-systems work.

Culture & Benefits

• Work in a talent-dense, high-performing environment focused on ownership, technical rigor, and speed.
• Partner cross-functionally with Product, QA, and Customer Engineering to shape roadmaps and quality gates.
• Work on foundational AI infrastructure with immediate real-world impact.
• Accessibility accommodations are available throughout the hiring process.