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Job Description & How to Apply Below
Responsibilities
- Develop CI/CD pipelines that automate building, testing, and deploying of AI powered applications
- Maintain and monitor cloud infrastructure, ensuring performance, availability, and cost-efficiency
- Manage infrastructure-as-code and configuration management across environments
- Collaborate with MLOps and engineering teams to design, automate, and monitor model-deployment pipelines
- Implement logging, alerting, and observability tools to ensure system reliability and rapid incident resolution
- Apply security best practices and ensure compliance with internal IT and regulatory policies
- 5-8 years of experience in Dev Ops or infrastructure engineering, ideally supporting ML or data platforms
- Strong experience with CI/CD tools (e.g., Git Lab CI, Jenkins, ArgoCD) and cloud platforms (e.g., Azure, AWS, GCP)
- Proficiency in infrastructure-as-code tools (e.g., Terraform, Pulumi) and scripting (e.g., Bash, Python)
- Expertise in containerization and orchestration (e.g., Docker, Kubernetes)
- Knowledge of system monitoring, logging, and incident response workflows
- Educational qualifications:
Bachelor’s degree in Computer Science, Engineering, or related field required
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