Pursue Your Passion with Purpose

Job Title

Key Responsibilities:

• Monitor database and system performance using Cloud Watch metrics, alarms, and logs; troubleshoot proactively.
• Develop, deploy, and optimize AI/ML solutions using AWS services like Sage Maker and Bedrock for model training, inference, and production integration.
• Automate tasks using AWS Lambda, Systems Manager (SSM), and IaC tools such as Cloud Formation or Terraform.
• Design scalable data processing workflows with AWS services including API Gateway, S3, EC2, RDS, Glue, Athena, DynamoDB, EMR, Kinesis, Data Sync.
• Integrate agentic AI systems, LLM-based agents, multi-agent workflows using Lang Chain and Lang Graph.
• 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, Cloud Watch, Cloud Trail, IAM, KMS, AWS Backup, Lambda.
• 7+ years Linux/Unix administration and scripting (Bash, Shell, Python).
• 7+ years IaC/automation:
  Cloud Formation, 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:
  Sage Maker, Bedrock, Open Search (vector DBs).
• Strong ML knowledge: algorithms, NLP, Tensor Flow, 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.