Cloud Native Architect

Project Role : Cloud Native Architect
Project Role Description : Design and develop cloud native architectures (2 tier, 3 tier, serverless, etc.) to build and run scalable applications using containers, microservices, immutable infrastructure and declarative APIs.
Must have skills : Google Kubernetes Engine
Good to have skills : DevOps, API Management, Google Cloud Platform Architecture, No Function Specialty
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As a Cloud Native Architect, you will design and develop cloud native architectures to build and run scalable applications using containers, microservices, immutable infrastructure, and declarative APIs. You will be responsible for creating innovative solutions and ensuring the successful implementation of cloud native technologies. 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. - Design and develop cloud native architectures to build and run scalable applications using containers, microservices, immutable infrastructure, and declarative APIs. - Create innovative solutions and ensure successful implementation of cloud native technologies. - Collaborate with cross-functional teams to define and implement best practices for cloud native development. - Stay up-to-date with the latest trends and advancements in cloud native technologies. - Additional responsibility: Mentor and guide junior professionals in cloud native architecture. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Kubernetes Engine, API Management, Google Cloud Platform Architecture, DevOps. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 7.5 years of experience in Google Kubernetes Engine. - This position is based at our Mumbai office. - A 15 years full time education is required.