Uxbert Labs

Senior DevOps Engineer

Riyadh, Saudi ArabiaPosted 4 months ago

Apply link checked 4 days ago

Salary
AED 29k–49k a month
Job type
Full time
Level
Senior
Field
Engineering & Technology
Work mode
On site

About the role

Do you want to love what you do at work? Do you want to make a difference, an impact, transform people's lives? Do you want to work with a team that believes in disrupting the normal, boring, and average? If yes, then this is the job you're looking for. UXBERT Labs is one of the leading digital and user experience design agencies in the GCC, working with top regional and international brands such as STC, Amazon, Gucci, and more. As part of the Supertech Group—which also includes Hala Yalla, Saudi's #1 private event ticketing and experience booking platform, and Kafu Games, the largest esports tournament platform in MENA—we are continuously expanding our innovation footprint. Responsibilities: - CI/CD & Automation: Design, implement, and manage robust CI/CD pipelines for Node.js and React applications using GitHub Actions and Bitbucket Pipelines across Dev, Staging, and Production. - Infrastructure as Code (IaC): Maintain and scale cloud infrastructure using Terraform (or CloudFormation). - Containerization & Orchestration: Containerize applications using Docker and orchestrate using Kubernetes (optional) / Excellent experience working on Kubernetes clusters (GKE/AKS). - Monitoring & Observability: Monitor system health, security, and performance. Solid experience with New Relic, Datadog, and APM, setting up APM cadence, APM alerts, and rules and policies for support and disaster management. - Cloud & Networking: Excellent experience with cloud-based VPC and networking within load balancing and orchestration. - Future-Proofing: Ability to learn fast, understand the world of LLM, complex CI/CD setups in the future, such as AI machine learning and AI coding. Benefits - Opportunity to work on high-impact Saudi government and enterprise projects. - Collaborative culture with strong design and engineering teams. - Competitive salary.

Requirements

  • - Development & Infrastructure: Solid at quickly setting up servers in Node.js, whitelisting IPs and providing Docker and secure environments for developers, production and testers.
  • - Coding Background: 7+ years of DevOps experience across cloud platforms. An engineering background in PHP or a strong programming background would be beneficial; solid JavaScript or Python is a must.
  • - Cloud & Caching Expertise: Proficiency with GCP and AWS (must have experience in both). Must be solid in CDNs, CloudFlare, configuration of complex caching in Redis and more. GCP certified would be very, very advantageous as Saudi prefer to work with GCP.
  • - Database & Scaling: Understanding of database setup, high scaling, high traffic sites in CloudFlare and without - complex setups of database optimisation, DFD, migration.
  • - Modern Workflows: Experience with Vercel for front-end deployment workflows.
  • - Environment Familiarity: Familiarity with Node.js environments, Linux, and monitoring tools.
  • - AI Integration: All engineers must be using AI vibe coding as part of their day to day work (Claude, Grok, ChatGPT).

Responsibilities

  • - CI/CD & Automation: Design, implement, and manage robust CI/CD pipelines for Node.js and React applications using GitHub Actions and Bitbucket Pipelines across Dev, Staging, and Production.
  • - Infrastructure as Code (IaC): Maintain and scale cloud infrastructure using Terraform (or CloudFormation).
  • - Containerization & Orchestration: Containerize applications using Docker and orchestrate using Kubernetes (optional) / Excellent experience working on Kubernetes clusters (GKE/AKS).
  • - Monitoring & Observability: Monitor system health, security, and performance. Solid experience with New Relic, Datadog, and APM, setting up APM cadence, APM alerts, and rules and policies for support and disaster management.
  • - Cloud & Networking: Excellent experience with cloud-based VPC and networking within load balancing and orchestration.
  • - Future-Proofing: Ability to learn fast, understand the world of LLM, complex CI/CD setups in the future, such as AI machine learning and AI coding.

Skills

  • CI/CD pipelines
  • GitHub Actions
  • Bitbucket Pipelines
  • Terraform
  • CloudFormation
  • Docker
  • Kubernetes
  • GKE
  • AKS
  • New Relic
  • Datadog
  • APM
  • cloud platforms (GCP, AWS)
  • CDNs
  • Redis
  • Vercel
  • Linux
  • Node.js
  • JavaScript
  • Python
  • AI coding
  • Claude
  • Grok
  • ChatGPT

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