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AI Cloud Engineer Role
Individuals should have multi-cloud experience with building scalable platform components across AWS, Azure or GCP. The solutions would be used to enable and scale developers, DevOps, and architects in cloud to use and scale our cloud solutions both securely and natively.
Key areas of responsibility:
1. Design and implement multi-cloud infrastructure solutions across various cloud platforms, including AWS, Azure, Google Cloud, and others.
2. Collaborate with cross-functional teams to identify, design, and implement end-to-end cloud-based solutions.
3. Develop and implement best practices for cloud platform deployments, including building for observability, future maintenance, and pleasant customer experiences
4. Expectations to "own" all code and features into production, including troubleshooting and resolving complex technical issues related to the platform.
5. Expected to dive into the unknown and/or bleeding edge technologies on behalf of research & development; this means embracing technical challenges even when documentation is sparse, unknown or out of date.
Qualifications:
○ Experience with multiple cloud providers, building and scaling cloud native toolings
○ Experience with Cloud RBAC, Policies and Cloud services deployments using IaC (e.g. Terraform, ARM, BiCEP, Cloud Formation templates)
○ Knowledge of GenAI and Machine learning Cloud services and their ecosystem (e.g. Azure ML, SageMaker, Vertex AI)
○ Building and deploying Docker containers, and orchestrating them with Kubernetes. CKAD certification is preferred, or in lieu of a certificatation able to demonstrate significant experience in developing applications on Kubernetes.
○ Familiarity with with Python based automations and libraries (e.g. FastAPIs)
○ Familiarity of securing cloud platforms using principles of least privilege, RBAC, authentication and authorization, logging, network security and other security domains
○ Experience designing and engineering REST API solutions with API Gateway integrations
○ Experience working in SAFe Agile team settings
○ Familiarity with platform engineering concepts
Great News! We've discovered an exciting live job opportunity for a AI Cloud Engineer position in India. This job is currently open for hiring/recruiting by Test Triangle, exclusively for you at India Jobs Expertini. Feel free to download the job details here.
Explore the current trends for AI Cloud Engineer jobs in India and India at Expertini. The following graph provides insights into the job market dynamics.
The work culture at Test Triangle must adhere to the Ethics of Work Culture as described in the Ethical framework of the UN Charter. You can gain more insights into their local workplace environment by exploring their jobs Test Triangle and also by visiting their official website through Google.
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Yes, we found live job(s) for Test Triangle in India.
AI Cloud Engineer jobs are available in India.
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The average salary range for AI Cloud Engineer in India varies, but the standard pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively.
To apply for a job at Test Triangle follow the application process following the "Apply Now" button at India Jobs Expertini and also you can visit Test Triangle official career page and follow their application process.
Key qualifications for AI Cloud Engineer typically include a list of qualifications and expertise as outlined in Bureau of Labor. Be sure to check the specific job listing for detailed requirements and qualifications.
You can set up job alerts for AI Cloud Engineer in India by creating a free job alerts on India Jobs Expertini. Our Ai system will automatically notify you when new job listings matching your criteria become available.
Benefits for AI Cloud Engineer positions may include a list of benefits. These can vary from company to company, so it's important to review the specific job listing for details on benefits offered by the employer.
Not all jobs have remote job opportunities available. However, nowadays, many companies offer remote work options. You can find remote job listings for AI Cloud Engineer on India Jobs Expertini.
To improve your chances of getting hired for AI Cloud Engineer, consider improving your skills. Also, make sure to check your Resume/CV Score with our free Resume Scoring Tool. Additionally, it is worth noting that India Jobs Expertini has an in-built Ai Resume Scoring tool that will give you the matching score for each job based on your Resume/CV once it is uploaded. This can also help you align your Resume/CV according to the job requirements and enhance your skills if you fall short of them.
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