INTL - Romania - AI Cloud Engineer

The AI Cloud Engineers will build solutions that will 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challenges even when documentation is sparse, unknown or out of date.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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- 5-7 years of experience

- Azure, AWS or GCP (requires knowledge with at least two) building and scaling cloud native toolings

- Experience with one of the following Machine Learning Services: Azure Machine Learning, Azure Cognitive Services, Azure AS Studio, Vertex AI, Amazon Bedrock, Amazon Sagemaker

- Strong skills in microservices

- Experience creating cloud design services

- Experience writing Infrastructure as Code templates

- Experience with Cloud RBAC, Policies and Pattern writing and Cloud services deployments using IaC (e.g. Terraform, ARM, BiCEP, Cloud Formation templates)

- Experience designing and engineering REST API solutions with API Gateway integrations

- DevOps knowledge

- Kubernetes

- 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.

- CICD

- Familiarity with with Python based automations and libraries (e.g.

FastAPIs)

- Experience working in SAFe Agile team settings

- Familiarity with platform engineering concepts

- Familiarity of securing cloud platforms using principles of least privilege,

RBAC, authentication and authorization, logging, network security and

other security domains

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.