Job Detail

Qualification

Have Professional Degree or Master Degree (Commerce Graduate)

Job description

Minimum of 3 - 5 years of experience as a Solution Architect - AWS and overall, 8 - 10 Years of experience in the IT industry. If any German, Italian, French is added advantages

Desired Profile

Skills requirements Bachelor's degree (or higher) in Computer Science, Information Technology, Engineering, or related field. Minimum of 3 - 5 years of experience as a Solution Architect - AWS and overall 8 - 10 Years of experience in the IT industry. Understanding of AWS services such as EC2, S3, RDS, Lambda, DynamoDB, etc. Experience with migrating and deploying applications on AWS. Knowledge of enterprise architecture and design patterns. Experience with DevOps ideology and continuous integration (CI) and continuous deployment (CD) pipeline. AWS certifications, such as AWS Solutions Architect - Professional, AWS Developer Associate, and AWS Cloud Practitioner will be highly preferred. In-depth understanding of cloud computing principles, concepts, and technologies such as Infrastructure-as-a-service (IaaS), Platform-as-a-service (PaaS), and Software-as-a-service (SaaS) in AWS environment. Strong hands-on experience with AWS infrastructure including EC2, S3, EBS, ELB, Auto scaling, Cloud Watch, Cloud Front, Route 53, etc. Experience with implementing complex data architectures in AWS, including data security, data exchange, and data modelling. Strong experience in designing, developing, and deploying scalable, highly available, and fault-tolerant systems on AWS. Understanding of best practices related to security, scalability, reliability, performance, and cost optimization for AWS environments. Working knowledge of AWS application integration services such as API Gateway, API Management, Event Bridge, and Service Bus, etc. Experience with server less, containerization and microservices technologies such as AWS Lambda, AWS Faregate/ECS, Docker, Kubernetes, etc. Experience in designing and managing DevOps pipelines using AWS Code Commit, AWS Code Build, AWS Code Pipeline and other relevant tools. Experience with AWS Identity and Access Management (IAM) and security policies, including setting up secure access and monitoring. Knowledge of AWS Machine Learning services like Sage Maker, Lex, Recognition, and Comprehend is an added advantage. Familiarity with other cloud services like Microsoft Azure and Google Cloud Platform is a plus. Must have good problem-solving and analytical skills and be comfortable with data-driven decision making. Experience in Support environment with Global business units around the world is must. Strong verbal and written communication skills and ability to work in a team environment. Should be able to work independently with minimal supervision Good presentation skills

Key Skills