Lead Cloud Engineer _ Azure/AWS and Python

Roles and Responsibilities:-

You must be an experienced Azure Cloud engineer with 8-10 years of Experience 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 practices, and ensuring the security of the cloud infrastructure.

Responsibilities

• 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.
• Educating teams on the implementation of new cloud technologies and initiatives.
• 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.

Qualifications

• Degree in computer science or a similar field.

• Eight or more years of experience in architecting, designing, developing, and implementing cloud solutions in

  Azure or AWS

• 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, Terraform, Azure app services, Functions, App Insights, ADF in AZURE

• Similar Technology stack for

  AWS like ECS, Lambda, S3, Glue jobs etc

• Developing and maintaining continuous integration and continuous deployment pipelines Jenkins Groovy scripts.
• Developing containerized solutions and orchestration

  (Docker, Kubernetes, App Service or ECS)

• 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/AWS preferred.

• Troubleshooting and analytical skills.

• Knowledge of AI & ML technologies, as well as ML model management is a plus.