Senior DevOps Engineer

Mirai Arabian International Company Limited; Riyadh; On-site; SAR 180,000 - 230,000; Full time

Job summary

Mirai Arabian International Company Limited is seeking an experienced professional to build and manage infrastructure for our Generative AI products. You will maintain CI/CD pipelines and ensure the reliability and security of AI workloads while adhering to best practices in infrastructure as code.

The ideal candidate will have at least eight years of experience in DevOps or infrastructure engineering, with strong AWS and container orchestration skills. You will be tasked with managing high availability databases and security across environments.

Qualifications

• Minimum eight years in DevOps, SRE, or infrastructure engineering with AI/ML workloads.
• Experience with infrastructure as code using Terraform or OpenTofu.
• Strong knowledge of AWS services and security practices.

Responsibilities

• Write and maintain infrastructure as code for reproducible environments.
• Own CI/CD pipelines for applications and services.
• Manage API gateways, networking, load balancing, and security.

Skills

DevOps

Infrastructure as Code

AWS

CI/CD

Container orchestration

Tools

Terraform

Docker

Kubernetes

Ansible

PostgreSQL

Job description

This role builds and runs the infrastructure our Generative AI products depend on: the pipelines that ship code, the platforms that run services and models, and the controls that keep all of it secure and reliable. AI workloads bring their own demands – GPUs, model serving, inference autoscaling, and token cost – all shape the work, and you have run workloads like these before. You should be comfortable owning infrastructure as code, CI CD, observability, and security on AWS and ready to set the operational standards a growing team will lean on.

WHAT YOU WILL DO

• Write and maintain infrastructure as code so environments are reproducible, reviewable, and quick to recover.
• Own CI CD – the pipelines that build, test, scan, and deploy applications, agents, and model‑serving services.
• Run the container platform (EKS, ECS, or Fargate) and the deployment workflows on top of it, including GitOps where it fits.
• Stand up the runtime for AI workloads: GPU capacity, model serving such as vLLM, Triton, or TGI, inference autoscaling, and the gateways and caching that sit in front of the models.
• Manage API gateways, networking, load balancing, DNS, and certificates so services are exposed safely and predictably.
• Own secrets, identity, and least‑privilege access across every environment.
• Run databases in production – clustering, replication, failover, backups, and recovery.
• Build monitoring into everything, including token usage and GPU utilisation, with alerting and clear service objectives.
• Lead reliability and security practice: incident response, policy as code, vulnerability and container scanning, and cost discipline, which matters once GPUs are in the mix.

QUALIFICATIONS

• Eight or more years in DevOps, SRE, or infrastructure engineering, including hands‑on experience supporting AI or ML workloads in production.
• Strong infrastructure as code with Terraform or OpenTofu, including module design and remote state. Experience with HCP Terraform (formerly Terraform Cloud) is a plus.
• Configuration management with Ansible.
• Solid AWS experience across compute, networking (VPC, subnets, security groups, load balancers, Route 53), IAM, and storage.
• Strong CI/CD with GitHub Actions, including reusable workflows and careful handling of credentials.
• Containers and orchestration: Docker, Kubernetes (EKS preferred), Helm, and a registry such as ECR.
• API gateway experience with Kong or Amazon API Gateway, including auth, rate limiting, and routing.
• Database operations including clustering and high availability, with RDS or Aurora, PostgreSQL, and a cache such as Redis or ElastiCache.
• Secrets management with HashiCorp Vault, AWS Secrets Manager, or Parameter Store.
• Observability with Prometheus, Grafana, CloudWatch, and OpenTelemetry, or close equivalents.
• Comfort in Linux and scripting with Bash and Python.