Senior DevOps Engineer: AI, Edge & Cloud Infra

Invigilo Technologies Pte Ltd; Queenstown; Hybrid; NZD 119,000 - 198,000; Full time

Job summary

Invigilo AI is seeking a DevOps Engineer to build, deploy, and operate infrastructure powering AI safety platforms globally. You will collaborate with AI, backend, and deployment teams to ensure reliable deployments across customer environments.

Responsibilities include building CI/CD pipelines, containerizing apps with Docker, and managing Azure/AWS cloud infrastructure, along with on-prem GPU server deployments.

Qualifications

• Experience running production systems, not just theory.
• Proficient with Linux administration and containerized apps.
• Strong in CI/CD and cloud platforms (Azure/AWS) and infrastructure automation.

Responsibilities

• Build and maintain CI/CD pipelines for backend, AI and edge apps.
• Containerize and deploy applications using Docker and orchestration tools.
• Manage cloud infrastructure across Azure and AWS.
• Support GPU AI stack deployments on on-premise servers.
• Automate provisioning and deployment of servers/environments.
• Manage Linux infrastructure and troubleshoot production systems.
• Build monitoring, logging and alerting for health across infra.
• Monitor uptime/performance across distributed deployments.
• Handle networking: VPNs, firewalls, ports, RTSP, secure connectivity.
• Support GPU infrastructure for CV/AI workloads.
• Improve deployment reliability and disaster recovery processes.
• Maintain infrastructure-as-code and configuration mgmt.

Skills

Linux administration

Docker & containers

CI/CD pipelines

Cloud platforms

Observability & monitoring

Networking & security basics

Scripting: Bash/Python

Git workflows

Tools

Docker

Kubernetes

GitHub Actions

GitLab CI

Jenkins

Terraform

Ansible

Azure

AWS

Nginx

Prometheus

Grafana

ELK

Loki

PostgreSQL

Redis

Job description

Invigilo AI is seeking a DevOps Engineer to build, deploy, and operate infrastructure powering AI safety platforms globally. You will collaborate with AI, backend, and deployment teams to ensure reliable deployments across customer environments.

Responsibilities include building CI/CD pipelines, containerizing apps with Docker, and managing Azure/AWS cloud infrastructure, along with on-prem GPU server deployments.