Cloud Platform Engineer
MDAEdge · Brooklyn, NY · 1 mo ago
On-siteEngineeringFull-time
Key Responsibilities
- Monitor database and system performance using CloudWatch metrics, alarms, and logs; troubleshoot proactively.
- Develop, deploy, and optimize AI/ML solutions using AWS services like SageMaker and Bedrock for model training, inference, and production integration.
- Automate tasks using AWS Lambda, Systems Manager (SSM), and IaC tools such as CloudFormation or Terraform.
- Design scalable data processing workflows with AWS services including API Gateway, S3, EC2, RDS, Glue, Athena, DynamoDB, EMR, Kinesis, DataSync.
- Integrate agentic AI systems, LLM-based agents, multi-agent workflows using LangChain and LangGraph.
- Implement ETL/ELT pipelines supporting ML, analytics, and agent-based applications.
- Support CI/CD for AI models and data workflows using Jenkins, ECS, EKS, or Kubernetes.
- Apply security best practices: IAM least-privilege, encryption, audit logging, compliance controls.
- Maintain documentation for AI architectures, data pipelines, infrastructure, and runbooks.
Required Skills and Experience
- Technical Skills: 7+ years hands-on AWS: EC2, RDS, S3, CloudWatch, CloudTrail, IAM, KMS, AWS Backup, Lambda.
- 7+ years Linux/Unix administration and scripting (Bash, Shell, Python).
- 7+ years IaC/automation: CloudFormation, Terraform, Ansible.
- 7+ years AWS networking: VPC, subnets, NACLs, security groups, Route 53, multi-AZ.
- 5+ years CI/CD, Jenkins, IaC for AI/ML deployment, MLOps with Kubernetes/ECS/EKS.
- 4+ years scalable data workflows: AWS services, Python (incl. PySpark), ETL/ELT patterns.
- 4+ years AWS AI/ML: SageMaker, Bedrock, OpenSearch (vector DBs).
- Strong ML knowledge: algorithms, NLP, TensorFlow, PyTorch, Hugging Face.
- Functional Skills: Architecting data platforms and AI integrations. Performance monitoring and proactive troubleshooting.
- Behavioral Skills: Strong problem-solving for scalable, secure cloud environments.
Requirements
- 7+ years total relevant experience.
- Bachelor's degree in Computer Science, Information Technology, or related field.
- NY local resident preferred.
- English native or bilingual proficiency.