DevOps Engineer

About the Role

NeuralTrix AI was seeking a DevOps Engineer to build and operate the cloud infrastructure, deployment pipelines and monitoring that keep our AI applications and models running reliably, securely and cost-effectively.

Key Responsibilities

CI/CD Pipelines

Design and maintain automated build, test and deployment pipelines using GitHub Actions, GitLab CI or Jenkins.

Cloud Infrastructure

Provision and manage infrastructure on AWS, Azure or GCP using infrastructure-as-code tools such as Terraform.

Containers & Orchestration

Containerise applications with Docker and manage deployments on Kubernetes, including GPU workloads for model serving.

Monitoring & Reliability

Implement logging, monitoring and alerting with Prometheus, Grafana or cloud-native tools, and lead incident response.

Security & Cost Optimisation

Apply security best practices, manage secrets and access policies, and continuously optimise cloud spend.

Qualifications

Education: Bachelor's degree in Computer Science, Information Technology or a related field.

Experience: 2-4 years of experience in DevOps, site reliability engineering or cloud engineering.

Skills & Competencies

Linux administration and shell scripting

Docker, Kubernetes and Terraform

Hands-on experience with AWS, Azure or GCP

CI/CD tooling and Git-based workflows

Scripting in Python or Bash

Why Join NeuralTrix AI?

DevOps Engineers at NeuralTrix AI own the platform that takes AI models from experiment to production, working with cutting-edge tooling for model serving, observability and automation.