Role Description
We are looking for a DevOps Engineer with strong expertise in AWS cloud infrastructure and a solid understanding of MLOps practices. You’ll be responsible for building and managing scalable infrastructure that supports our climate reporting and carbon marketplace products — AhyaOS and Tawazun.
This role is ideal for someone with 2–4 years of experience who thrives in fast-paced environments and enjoys working at the intersection of infrastructure, automation, and machine learning.
Key responsibilities
- Design, deploy, and manage scalable infrastructure on AWS (ECS, EKS,ECR, EC2, RDS, S3).
- Set up and manage CI/CD pipelines using GitHub Actions.
- Manage containerization and orchestration using Docker and Terraform.
- Support ML model deployment workflows and pipelines.
- Monitor and troubleshoot production environments using tools like Sentry and CloudWatch.
- Implement security best practices and support VAPT remediation efforts.
- Collaborate with data science and backend teams to optimize model and service deployment.
Tech stack
- Infrastructure: AWS (ECS, EC2, S3, RDS), Docker, Terraform
- CI/CD & Automation: GitHub Actions
- MLOps: Model packaging, orchestration, and deployment
- Monitoring: Sentry.io, AWS CloudWatch
- Tools & Services: Python, FastAPI, PostgreSQL, Celery
Requirements
- 2–3 years of experience in DevOps or Cloud Engineering, with a strong AWS background.
- Proficient in managing infrastructure as code using Terraform or similar tools.
- Experience with containerization using Docker and deploying services to ECS or Kubernetes.
- Exposure to MLOps workflows and supporting ML model deployment in production.
- Familiarity with CI/CD practices and pipeline management.
- Comfortable troubleshooting production issues and ensuring system reliability.