Cloud Platform Engineer

Cloud Platform Engineer

Project Role : Cloud Platform Engineer
Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance.
Must have skills : AWS AI Services
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Cloud Platform Engineer, you will engage in the design, construction, testing, and deployment of cloud application solutions that seamlessly integrate both cloud and non-cloud infrastructures. Your typical day will involve collaborating with various teams to ensure the architecture's viability, security, and performance, while also creating proofs of concept to validate your designs. You will be responsible for deploying infrastructure and platform environments, ensuring that all components work harmoniously together to meet organizational goals and client needs. Your role will require a proactive approach to problem-solving and a commitment to delivering high-quality solutions in a dynamic environment. AI Powered Tech Talent


Roles & Responsibilities:
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Facilitate knowledge sharing sessions to enhance team capabilities.
- Monitor and evaluate the performance of deployed solutions to ensure optimal functionality.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in AWS AI Services.
- Strong understanding of cloud architecture and deployment strategies.
- Experience with infrastructure as code tools such as Terraform or CloudFormation.
- Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.
- Ability to troubleshoot and optimize cloud-based applications for performance and cost efficiency.

Additional Information:
- The candidate should have minimum 5 years of experience in AWS AI Services.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.