DevOps & Infrastructure Engineer

About Argu

Argu is building the world’s first generative video analysis platform - turning any camera into an intelligent monitoring agent with natural-language instructions. We power real-time situational awareness for some of the most critical environments in the world.

Backed by some of the world's top VCs, including a16z, we’re growing fast and looking for an experienced DevOps & Infrastructure Engineer to own and scale our production backbone across cloud and on-prem environments globally.

What you will do:

• Own and manage infrastructure end-to-end
• Create and maintain different environments
• Continuously improve CI/CD pipelines and deployment flows
• Lead and execute offline deployments on customer sites
• Deploy systems across multi-cloud environments (GCP, Azure)
• Manage and scale internal company models and services
• Develop automation and infrastructure services to support engineering velocity

Key Responsibilities

• Python - Automation scripting and infra management
• Kubernetes - Container orchestration and cluster management at scale
• Jenkins - CI/CD pipeline configuration and deployment automation
• Proven experience in video stream processing - streaming protocols, media workflows
• Proven experience in large-scale infrastructure management - distributed systems and HA setups
• FFmpeg - video encoding, transcoding, media processing
• NVIDIA Operator - GPU resource management in Kubernetes (time slicing & GPU partitioning)
• Google Cloud Platform (GCP) and Azure
• SeaweedFS - distributed file system and storage management
• On-Prem Deployment - hardware provisioning, bare-metal system management
• Ollama / vLLM - local LLM deployment and management

Bonus Qualifications:

• Background in computer vision or MLOps
• Familiarity with MediaMTX
• Military/defense background (advantage)

Why Argu

• Well capitalized by some of the world's top VCs
• Empower high-profile organizations globally, impacting the lives of millions
• Work with a tight, elite team scaling a category-defining AI company
• Real impact, zero bureaucracy, fast execution
• Equity plans available