Associate / Senior Associate, DevOps Engineer

Role Description

We are hiring a DevOps Engineer to design, build, and scale cloud infrastructure across AWS, GCP, and regional platforms for AhyaOS and Tawazun, our climate reporting and carbon marketplace products.

This is a hands-on engineering role focused on automation, reliability, and scalable system design. You will own infrastructure, CI/CD pipelines, and deployment workflows, including supporting ML-based systems in production.

This role is suited for engineers who build systems from the ground up and take responsibility for their performance in production.

Key Responsibilities

• Design and manage scalable, resilient infrastructure across AWS, GCP, and regional cloud providers
• Build and maintain infrastructure as code using Terraform
• Develop and manage CI/CD pipelines using GitHub Actions and GitOps practices (ArgoCD)
• Deploy and operate containerized applications using ECS or Kubernetes
• Implement GitOps workflows for consistent and auditable deployments
• Support deployment and scaling of backend services and ML workloads
• Monitor systems, troubleshoot issues, and handle production incidents
• Optimize infrastructure for performance, availability, and cost efficiency
• Implement security best practices and support vulnerability management

Tech Stack

• Cloud: AWS, GCP, regional cloud providers
• Infrastructure: Terraform, Docker
• Orchestration: ECS, Kubernetes
• CI/CD: GitHub Actions, ArgoCD
• Monitoring: CloudWatch, Sentry, or equivalents
• Backend Exposure: Python, FastAPI, PostgreSQL, Celery

Requirements

• 3 to 6 years of hands-on experience in DevOps or Cloud Engineering
• Strong experience with at least one major cloud provider (AWS or GCP)
• Proven experience with infrastructure as code, Terraform preferred
• Experience with containerized deployments using ECS or Kubernetes
• Hands-on experience with CI/CD pipelines, GitHub Actions preferred
• Familiarity with GitOps practices and tools such as ArgoCD
• Ability to troubleshoot production systems and handle incidents independently
• Exposure to multi-cloud or hybrid environments is an advantage
• Exposure to ML deployment workflows is a plus

Experience:

• DevOps: 4 years (Required)

Work Location: In person