Senior DevOps Engineer - AI & Edge Cloud Deployments

invigilo technologies pte. ltd.; Singapore; Hybrid; SGD 90,000 - 150,000; Full time

Job summary

Invigilo AI in Singapore is seeking a DevOps Engineer to design, deploy and operate the infrastructure that powers our AI-powered safety platform across global sites. You will work with AI, backend and deployment teams to build CI/CD pipelines, containerize applications, manage Azure and AWS, and ensure reliable deployment on hybrid and on-premise GPU servers.

This role requires hands-on production experience, strong security practices, and the ability to scale operations as our customer base

Qualifications

• You have hands-on experience running production systems with Linux.
• Proficient with Docker and container orchestration (Kubernetes).
• Strong CI/CD experience using GitHub Actions, GitLab CI, Jenkins, or similar.
• Experience across cloud platforms (Azure, AWS) and IaC tools (Terraform, Ansible).
• Familiar with networking, VPNs, firewalls, DNS and TCP/IP.
• Proficient in monitoring with Prometheus, Grafana, ELK, Loki, etc. and in databases like PostgreSQL/Redis.
• Scripting skills in Bash and/or Python; Git workflows.

Responsibilities

• Build and maintain CI/CD pipelines for backend, AI and edge components.
• Containerize and deploy apps via Docker and orchestration tools.
• Manage cloud infrastructure across Azure and AWS.
• Support deployment of GPU-enabled AI stacks on customer hardware.
• Automate provisioning and configuration of new servers and environments.
• Ensure infrastructure reliability with observability and disaster recovery.

Skills

Linux administration

Docker

Container orchestration

CI/CD tools

Cloud platforms

Infrastructure as code

Kubernetes

Networking

Monitoring

Databases

Scripting

Git workflows

Tools

Docker

Kubernetes

Terraform

Ansible

Git

Nginx

CI/CD tooling

Job description

Invigilo AI in Singapore is seeking a DevOps Engineer to design, deploy and operate the infrastructure that powers our AI-powered safety platform across global sites. You will work with AI, backend and deployment teams to build CI/CD pipelines, containerize applications, manage Azure and AWS, and ensure reliable deployment on hybrid and on-premise GPU servers.

This role requires hands-on production experience, strong security practices, and the ability to scale operations as our customer base