Mission:

• Design a robust, secure and optimized AWS architecture to implement large scale enterprise data solutions and applications.
• Develop and deliver AWS Cloud solutions in areas such as AIML, advanced analytics, microservices, serverless, etc.
• Build highly scalable, Cloud-native applications on AWS platform using services like API Gateway, Lambda, SQS, DynamoDB and ECS.
• Implement and manage KuberNetes environments.
• Ensure configuration and compliance with configuration management tools.
• Administer and troubleshoot Linux based systems.
• Troubleshoot problems across a wide array of services and functional areas.
• Perform infrastructure cost analysis and optimization.

• Bachelors degree in Cloud Computing or related.
• 5+ years of experience in Cloud solution/technical architecture.
• 5+ years of experience in Big Data, analytics or database management in the Cloud.
• Experience implementing event-driven solutions, microservices and smaller servers.
• Hands-on experience implementing data analytics solutions using AWS: VPC, EC2, S3, AutoScaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, CDC processing Redshift, RDS, Cloudtrail, CloudWatch, Docker, Lambda, AI/ML, etc.
• Have a good knowledge of the technology stack available in the industry for data management, data ingestion, data capture, data processing and data curation: Kafka, HVR, Talend, Hadoop, Hive, Spark, etc.
• In-depth knowledge of Networks topology and Cloud Security.
• Sound understanding of OS (Linux, CentOs) and OS hardening.
• Should be able to work Independently and execute tasks with precision.
• Experience working on Linux based infrastructure.
• Working knowledge of various tools, open-source technologies, and Cloud services.
• Clear fundamentals with DNS, HTTP, HTTPS, Micro-Services, Monolith etc.
• Having a Big data or AI/ML specialization or any other AWS certification is a plus but not required.