DevOps Manager - INVIGILO TECHNOLOGIES PTE. LTD.

DevOps Engineer

Company: Invigilo AI Location: Singapore / Hybrid or Remote Employment Type: Full-time

What You'll Do

You will work closely with our AI, backend and deployment teams to ensure Invigilo's platform can be reliably deployed and operated across customer environments.

Your responsibilities will include:

Build and maintain CI/CD pipelines for our backend, AI and edge applications.

Containerize and deploy applications using Docker and related orchestration technologies.

Manage cloud infrastructure, primarily across platforms such as Azure and AWS.

Support deployment of Invigilo's AI stack on customer on-premise GPU servers.

Automate provisioning, configuration and deployment of new servers and environments.

Manage Linux-based infrastructure and troubleshoot production systems.

Build monitoring, logging and alerting systems for application, server, GPU and infrastructure health.

Monitor uptime and performance across distributed customer deployments.

Manage networking requirements including VPNs, firewalls, ports, RTSP streams and secure connectivity between customer sites and Invigilo systems.

Support GPU infrastructure used for computer vision and AI inference workloads.

Improve deployment reliability, rollback processes and disaster recovery procedures.

Maintain infrastructure-as-code and configuration management practices.

Work with engineering teams to improve application observability and production readiness.

Implement security best practices around access control, secrets, encryption, patching and infrastructure hardening.

Help troubleshoot deployments together with field engineers and customers when required.

Continuously improve the way we deploy and manage hundreds of cameras, AI services and edge devices across multiple sites.

What We're Looking For

You should have strong practical experience running production systems rather than only theoretical DevOps knowledge.

Ideally, you have experience with several of the following:

Linux administration

Docker and containerized applications

CI/CD using GitHub Actions, GitLab CI, Jenkins or similar

Azure, AWS or another major cloud platform

Terraform, Ansible or similar infrastructure automation tools

Kubernetes or container orchestration

Nginx and reverse proxies

Networking, VPNs, DNS, firewalls and TCP/IP

Monitoring tools such as Prometheus, Grafana, ELK, Loki or similar

PostgreSQL, Redis or other production databases

Bash and/or Python scripting

Git and modern software development workflows

Experience working with GPU servers, NVIDIA drivers, CUDA, computer vision systems, video streaming or RTSP infrastructure would be particularly valuable.

Bonus Points

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