Job Profile: Lead, Cloud Engineer (Azure, Python)

Job Location - Bangalore

Are you passionate about developing simple, elegant solutions to complex problems? Do you believe that AI has the potential to transform entire industries? If your answer is "Yes" to the above questions, we'd love to have a chat with you about our AI solutions.

We are looking for an experienced cloud engineer as part of AI engineering team to develop, implement, optimize, and maintain cloud-based solutions. You will be responsible for deploying and debugging cloud stacks, adopting and implementing best cloud practises, and ensuring the security of the cloud infrastructure.

To be successful as a cloud engineer, you should be able to identify the most optimal cloud-based solutions and maintain cloud infrastructures in accordance with best practices and company security policies. A top-notch cloud engineer should have excellent troubleshooting skills, stay current with industry trends, and should be a team player

• As part of project scrum team member design and implement the most optimal cloud-based solutions for the company
• Ensure application performance, uptime, and scale, maintaining high standards for code quality and thoughtful design
• Modifying and improving existing systems.

• Ensuring efficient functioning of data storage and processing functions in accordance with company security policies and best practices in cloud security.
• Identifying, analyzing, and resolving infrastructure vulnerabilities and application deployment issues.
• Define and document best practices and strategies regarding application deployment and infrastructure maintenance.
• Regularly reviewing existing systems and making recommendations for improvements.

• Understanding of core cloud concepts like Infra as code, IaaS, PaaS and SaaS.
• Strong proficiency in Python and experience with REST API development.
• Design and implement scalable, secure, and efficient cloud-based solutions using Azure services.
• Develop and maintain RESTful APIs to support various applications.
• Technologies: Python, Azure, MLFlow, AKS, Terraform, Azure app services, Functions, App Insights,
• Developing and maintaining continuous integration and continuous deployment pipelines - Jenkins Groovy scripts.
• Developing containerized solutions and orchestration (Docker, Kubernetes, AKS)
• Experience of server less architecture, cloud computing, cloud native application and scalability etc
• Collaborate with cross-functional teams to define, design, and ship new features.
• Optimize applications for maximum speed and scalability.
• Implement robust security measures and ensure compliance with industry standards.
• Monitor and troubleshoot application performance and resolve any issues.
• Participate in code reviews and contribute to the continuous improvement of the development process.
• Development experience with configuration management tools (Terraform, Ansible, Arm Templates).
• Relevant certification of Azure preferred.
• Troubleshooting and analytical skills.
• Knowledge of AI & ML technologies, as well as ML model management is a plus.