Cloud Engineering Lead for Azure ML and DevOps
4 days ago
We are seeking a seasoned Cloud Engineering Lead with expertise in Azure DevOps, focusing on YAML coding, Azure Management, and experience with Azure Machine Learning (ML) using Python. The ideal candidate will also have hands-on knowledge of Azure Kubernetes Service (AKS). This role involves leveraging these skills to drive the development and deployment of scalable cloud-based solutions.
About the Role:
The successful candidate will be responsible for designing, implementing, and maintaining efficient cloud infrastructure using Azure DevOps tools. They will work closely with cross-functional teams to ensure seamless integration and optimal performance of cloud-based applications.
Key Responsibilities:
- Design and implement scalable cloud infrastructure using Azure DevOps.
- Develop and maintain efficient automation scripts using YAML.
- Leverage Azure Machine Learning to build and deploy predictive models.
- Collaborate with AKS team to ensure smooth containerized application deployment.
- Work with cross-functional teams to identify and implement process improvements.
Requirements:
- 5+ years of experience in cloud engineering, with a focus on Azure DevOps.
- Strong understanding of YAML coding and Azure management.
- Experience with Azure Machine Learning and Python programming.
- Familiarity with Azure Kubernetes Service (AKS).
- Excellent communication and collaboration skills.
What We Offer:
- Competitive salary: ₹1200,000 - ₹1800,000 per annum.
- Opportunities for professional growth and development.
- Collaborative and dynamic work environment.
Location: Hyderabad/Bengaluru.
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