This job is no longer available. Continue your job search here.
Cloud Native Architect
Bengaluru
Job No. atci-4583952-s1810335
Full-time
Job Description
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
Minimum 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. - Utilize containers, microservices, immutable infrastructure, and declarative APIs. - Create innovative solutions using cloud native technologies. - Ensure successful implementation of cloud native architectures. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Kubernetes Engine. - Good To Have Skills: Experience with 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 5 years of experience in Google Kubernetes Engine. - This position is based at our Bengaluru office. - A 15 years full time education is required.
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
Minimum 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. - Utilize containers, microservices, immutable infrastructure, and declarative APIs. - Create innovative solutions using cloud native technologies. - Ensure successful implementation of cloud native architectures. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Kubernetes Engine. - Good To Have Skills: Experience with 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 5 years of experience in Google Kubernetes Engine. - This position is based at our Bengaluru office. - A 15 years full time education is required.
Qualifications
15 years full time education
Please be informed that at any given point in time, you can only have one "Active" application.
Please be informed that at any given point in time, you can only have one "Active" application.