Senior DevOps Engineer – AI Edge Infrastructure

About the role

We are seeking a Senior DevOps Engineer to own the reliability, security, and scalability of AI deployments at the edge and in the cloud. You will design secure connectivity between distributed devices and central services, troubleshoot network performance, and harden our deployment pipelines.

Key responsibilities

• Design, deploy, and maintain infrastructure for edge and cloud AI workloads.
• Build and manage secure networking (VPNs, firewalls, VLANs, zero‑trust access) between distributed devices and central services.
• Own CI/CD pipelines for model and application deployment.
• Containerize and orchestrate inference workloads.
• Monitor, log, and alert across the edge‑to‑cloud stack.
• Troubleshoot connectivity, bandwidth, and latency issues on constrained networks.
• Automate provisioning and configuration using Infrastructure‑as‑Code.
• Harden systems for security and compliance in enterprise environments.
• Support remote device management and over‑the‑air updates.

Required profile

• 4+ years of experience in DevOps, SRE, or infrastructure engineering.
• Strong networking fundamentals (TCP/IP, routing, DNS, VPNs, firewalls, NAT, subnetting).
• Hands‑on experience with containerization and orchestration.
• Proficiency with CI/CD pipelines and Infrastructure‑as‑Code.
• Comfortable working on Linux command line.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Scripting skills in Python, Bash, or similar.

Required skills

• TCP/IP
• Routing
• DNS
• VPNs
• Firewalls
• NAT
• Subnetting
• Containerization
• Orchestration
• CI/CD
• Infrastructure‑as‑Code
• Linux
• AWS
• Azure
• GCP
• Python
• Bash

What we offer

• Work on AI systems deployed at real enterprise scale.
• High autonomy and direct impact.
• Competitive compensation.