Skip to main content

Cloud Platform Engineer

Posted today

macpower digital assets edge privateNew York (NY)

SENIORITY

Senior

Apply (opens in a new tab)

About the role

Job Description
Job Description 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-onAWS: 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 yearsAWS 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.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

More like this