AI Cloud Engineer, Infosys

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. Today, the corporate landscape is dynamic, and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you. Now you have the opportunity to join Infosys!

We are currently looking for an AI Cloud Engineer for our long-time customer Infosys.

In this role you 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. 

We offer you to work as a freelancer. Assignment duration is at least 6 months.

This work can be done remotely from anywhere in Finland.

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of research & development; this means embracing technical challenges even when documentation is sparse, unknown or out of date.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 certification able to demonstrate significant experience in developing applications on Kubernetes
- ​​​​​​​Familiarity 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

What’s in it for you? A great opportunity for an AI Cloud professional to grow and make an impact in an awarded global IT company. Infosys has been recognized as Global Top Employer as well as the World’s most ethical company to name a few! You will become a part of an international and skilled team in Finland. At Infosys, we assure that your career will never stand still, we will inspire you to build what’s next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people.

For further information about Infosys, visit their website here https://www.infosys.com/

Could this be your next adventure? Great! Here are some instructions for applying:

Leave your CV along with your salary request through Staffpoint’s website. However, please note that we might start screening the applications already during the application period. Please note: We do not accept applications via email due to GDPR regulations.