Cloud Platform Engineer

Job Description:

• Monitor database and system performance using CloudWatch metrics, alarms, and logs; troubleshoot proactively.
• Develop, deploy, and optimize AI/ML solutions using AWS AI services including SageMaker and Bedrock, supporting model training, inference, and integration into production systems.
• Automate operational tasks using AWS Lambda, Systems Manager (SSM), and Infrastructure-as-Code tools such as CloudFormation or Terraform.
• Design, build, and maintain scalable, fault-tolerant data processing and analytics workflows on AWS using services such as API Gateway, S3, EC2, RDS, Lambda, Glue, Athena, DynamoDB, EMR, Kinesis, DataSync.
• Design and integrate agentic AI systems, including LLM-based agents, multi-agent workflows, and autonomous orchestration pipelines using frameworks such as LangChain and LangGraph.
• Implement ETL/ELT pipelines and data architectures that support machine learning, analytics, and intelligent agent-based applications.
• Support CI/CD pipelines for AI models and data workflows using Jenkins and container-based platforms such as ECS, EKS, or Kubernetes.
• Apply security best practices across AI and data platforms, including IAM least-privilege access, encryption, audit logging, and compliance controls.
• Maintain technical documentation for AI architectures, data pipelines, infrastructure configurations, and operational runbooks.