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Netic · 5 months ago

Software Engineer, Agent Infrastructure

San Francisco

Full-time

Onsite

Mid Level

4+ years exp

Netic is the AI revenue engine that handles multi-modal workflows and drives measurable revenue for essential service industries. As an Agent Infrastructure Engineer, you will architect and scale the backbone supporting autonomous AI agents, collaborating with a team to shape infrastructure and processes using cutting-edge technologies.

Artificial Intelligence (AI)Business Process Automation (BPA)Marketing AutomationService Industry

Responsibilities

Build cloud infrastructure: Design and operate the backbone that hosts our AI agents and supports our platform

Automate operations: Create infrastructure as code and automated deployment pipelines for reliable releases

Enable scale: Implement systems that handle usage spikes gracefully through autoscaling and multi-region support

Create observability: Build monitoring, logging, and dashboards that provide real-time visibility into system health

Maintain security: Implement security best practices including IAM, network segmentation, and audit trails

Qualification

Cloud infrastructureInfrastructure as codeCI/CD pipelinesPerformance optimizationObservability toolsSecurity best practicesAI infrastructureSoft skills

Required

4+ years running distributed systems at scale with a major cloud platforms (we use GCP but AWS and Azure is great, too)

Proven record of owning infrastructure-as-code and CI/CD pipelines (Terraform, Git Actions, etc)

Experience optimizing systems and databases to meet latency and cost targets under multi-modal workloads. For example, experience with pgBouncer, Kubernetes-based autoscaling, and similar tools

Fluent with modern monitoring and tracing tooling (we use Datadog) and built-in tools in Vercel or GCP

Understanding of enterprise security requirements and compliance needs like authentication and service proxies

Treat infrastructure as a product and prioritize ambiguous requirements to see around the corner for 1-2 years ahead of our current systems—measure impact and iterate continuously

Exposure to AI infrastructure and LLMs. Experience with hosting agents or with LLMs or an interest in experimenting with LLMs - even in your own free time