Senior DevOps Engineer
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Key skills for this role
About the Role
UXBERT Labs is seeking a Senior DevOps Engineer to design and manage CI/CD pipelines, infrastructure as code, containerization, and monitoring for Node.js and React applications. The role requires 7+ years of DevOps experience with GCP and AWS, and a strong programming background in JavaScript or Python.
Key Skills for This Role
Responsibilities
- 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
- Maintain and scale cloud infrastructure using Terraform (or CloudFormation)
- Containerize applications using Docker and orchestrate using Kubernetes (GKE/AKS)
- Monitor system health, security, and performance with New Relic, Datadog, and APM
- Manage cloud based VPC and networking within load balancing and orchestration
- Learn fast and understand the world of LLM, complex CI/CD setups in the future, such as AI machine learning and AI coding
Requirements
- 7+ years of DevOps experience across cloud platforms
- Solid JavaScript or Python is a must
- Proficiency with GCP and AWS (must have experience in both)
- Solid at quickly setting up servers in Node.js, whitelisting IPs and providing Docker and secure environments
- Experience with Vercel for front end deployment workflows
- Familiarity with Node.js environments, Linux, and monitoring tools
- All engineers must be using AI vibe coding as part of their day to day work (Claude, Grok, ChatGPT)
Full Job Posting
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.
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).
Benefits
- Opportunity to work on high impact Saudi government and enterprise projects.
- Collaborative culture with strong design and engineering teams.
- Competitive salary.
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