DevOps Engineer supporting cloud infrastructure and AI deployments. Collaborating with cross-functional teams to automate processes and improve DevOps practices.
Responsibilities
We are looking for an enthusiastic and detail-oriented DevOps Engineer to join our team. The ideal candidate should have a solid foundation in DevOps practices, cloud infrastructure, and deployment pipelines, along with exposure to artificial intelligence (AI) technologies. This role will support the automation and optimization of AI model deployment and cloud-based infrastructure, ensuring seamless integration between development, operations, and AI initiatives.
Requirements
BE/BTech or ME/MTech with 2+ years of experience in DevOps.
Strong knowledge of DevOps concepts, continuous integration, continuous deployment, and automation.
Experience with cloud platforms (AWS, GCP, Azure) and cloud services (EC2, Lambda, Kubernetes, etc.).
Familiarity with containerization tools such as Docker and Kubernetes.
Exposure to AI/ML concepts, including deployment of machine learning models and managing AI workloads.
Proficiency in scripting languages (Python, Shell, Bash, etc.).
Experience with infrastructure as code (IaC) using tools like Terraform, Ansible, or CloudFormation.
Basic knowledge of version control systems (Git).
Familiarity with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or similar.
Understanding of data pipeline and ETL processes for AI and ML systems.
**Soft Skills**:
Strong analytical and problem-solving skills.
Excellent communication and collaboration skills.
Ability to work in a fast-paced and evolving environment.
A passion for learning new technologies and growing in the DevOps and AI space.
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