Development operations Engineer

RIME | رايم; Riyadh; On-site; SAR 180,000 - 240,000; Full time

Job summary

RIME is seeking a System Reliability Engineer (SRE) to ensure stability, speed, and reliability of real-time video streams and sensor data processing systems. You will bridge software engineering and operations (DevOps) to maintain scalable, highly available services across production environments.

You will implement CI/CD, IaC, and secure deployment practices, collaborating with AI teams on ML model lifecycles while embedding security testing from the start.

Qualifications

• Experience building CI/CD pipelines with GitHub Actions, GitLab CI, or Jenkins (required).
• IaC using Terraform or Ansible with at least one major cloud (AWS/GCP/Azure).
• Security testing integration (SAST/DAST) and secure secrets management experience.
• Familiarity with MLOps lifecycles and deploying AI/Computer Vision models.

Responsibilities

• Design and build robust CI/CD pipelines for backend, frontend, and AI/Computer Vision models.
• Provision and manage cloud infrastructure using Terraform or Ansible.
• Improve developer experience by reducing build times and accelerating local development environments.
• Collaborate with AI teams to automate ML model lifecycle from training to deployment.
• Integrate automated security checks and secret management into deployment pipelines.

Skills

CI/CD & Automation

Security Testing

MLOps concepts

DevOps practices

Tools

GitHub Actions

GitLab CI

Jenkins

Terraform

Ansible

AWS

GCP

Azure

HashiCorp Vault

AWS Secrets Manager

Job description

Welcome to where every role drives real change. At Rime, we don't just offer jobs, we offer the chance to shape industries and transform communities. Join professionals who wake up knowing their work matters, solving challenges that impact millions. Whether leading breakthrough initiatives or starting your journey, you'll work on projects that leave a lasting legacy. Every decision, every idea here creates ripple effects that matter. Ready to do work that matters? Explore our roles and join those making a real difference.

Description

At Rime, we are on a massive mission to empower businesses and optimize our clients' operational processes. We operate a system that processes thousands of real-time video streams and sensor data, transforming them into critical operational insights. As a System Reliability Engineer (SRE), you will be the "backbone" ensuring the stability, speed, and reliability of our systems. Operating at the intersection of software engineering and operations (DevOps), you will ensure our servers and software run efficiently around the clock with minimal downtime, while guaranteeing seamless scalability as hundreds of new client branches are onboarded.

Requirements

1. CI/CD & Automation: Strong hands-on experience building and maintaining CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins.

2. Infrastructure as Code (IaC): Deep practical experience with IaC tools, specifically Terraform or Ansible, along with strong knowledge of at least one major cloud platform (AWS, GCP, or Azure).

3. Security (DevSecOps): Experience integrating security testing (SAST/DAST) into pipelines and utilizing secure secrets management solutions (e.g., HashiCorp Vault, AWS Secrets Manager).

4. MLOps Knowledge: Familiarity with Machine Learning lifecycles, MLOps concepts, and the specific challenges of deploying AI and computer vision models into production.

Roles And Responsibilities

1. CI/CD Pipeline Automation: Design and build robust continuous integration and deployment (CI/CD) pipelines for backend services, frontend applications, and AI/Computer Vision models to ensure updates are released quickly and reliably.

2. Infrastructure as Code (IaC): Provision and manage cloud infrastructure using tools like Terraform or Ansible to ensure work environments are easily reproducible and highly scalable.

3. Developer Enablement (DevEx): Improve the developer experience by accelerating code build times, setting up efficient local development environments, and removing operational bottlenecks so engineers can focus entirely on writing code.

4. MLOps Collaboration: Work closely with the AI team to automate the lifecycle of machine learning models, from training and testing to seamless deployment in the production environment.

5. Security Integration (DevSecOps): Integrate automated security checks, vulnerability scanning, and secure secrets management into the deployment pipelines to ensure code security right from the start.