Cloud Platform Engineer

Immediate long term contract opportunity for Cloud Platform Engineer with direct client in Brooklyn, NY. Trigyn's direct government client has an immediate long-term need for Cloud Platform Engineer in Brooklyn, NY. Roles and Responsibilities: • 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. Required Skills: • Minimum 7 years of hands-on AWS experience: EC2, RDS, S3, CloudWatch, CloudTrail, IAM, KMS, AWS Backup, and Lambda. • Minimum 7 years of experience in Linux/Unix administration and automation scripting (Bash, Shell, Python). • Minimum 7 years of experience with Infrastructure as Code (IaC) and automation tools, including CloudFormation, Terraform, and Ansible, for provisioning and maintaining. • Minimum 7 years of knowledge in AWS networking: VPC, subnets, NACLs, security groups, Route 53, and multi-AZ architectures. • Minimum 5 years of experience CI/CD pipelines, Jenkins, and IaC for deploying AI agents and ML models into production, monitoring autonomous workflows, and supporting MLOps using Kubernetes, ECS, or EKS. • Minimum 4 years of experience architecting, building, and maintaining scalable data processing workflows using AWS managed services and Python (including PySpark); strong understanding of data architecture and ETL/ELT patterns. • Minimum 4 years of experience working with AWS AI/ML services such as SageMaker, Bedrock, and vector databases (OpenSearch). • Strong understanding of machine learning algorithms, NLP concepts, and deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face. TRIGYN IS AN EQUAL OPPORTUNITY EMPLOYER About Trigyn: Trigyn is an IT Services Company that has been in business for 30 years with more than 1,500 resources deployed today. Trigyn is ISO 9001:2015, ISO 27001:2013 (ISMS) and CMMI Level 5 Certified. Trigyn is an E-Verify® Employer.