{"schemaVersion":"jobsearcher.job.v1","id":"c1848e488fb9494bcf34ef46","url":"https://jobsearcher.com/jobs/c1848e488fb9494bcf34ef46","canonicalUrl":"https://jobsearcher.com/jobs/c1848e488fb9494bcf34ef46","title":"Cloud Platform Engineer","description":"UNIVERSAL Technologies is seeking a Cloud Platform Engineer for an onsite role in Brooklyn, NY with strong AWS, AI/ML, and data platform expertise to support a high-priority, agency-wide initiative focused on reducing payment error rates and strengthening program integrity. Active LinkedIn preferred. This role will design, deploy, and support scalable, secure cloud infrastructure and AI-enabled data solutions that enhance eligibility accuracy, automation, compliance, and data-driven decision-making in a regulated enterprise environment.\nWHO WE ARE\nUNIVERSAL Technologies is a Women-Owned (M/WBE) IT consulting and professional services firm delivering innovative technology solutions to government and enterprise clients. We specialize in cloud engineering, data analytics, artificial intelligence, automation, and application development to help organizations improve performance, compliance, and service delivery.\nWHAT WE OFFER\nEngagement on mission-critical, high-visibility government initiatives\nHands-on work with AWS cloud, AI/ML, and data platforms\nCollaborative environment with experienced cloud, data, and AI professionals\nCommitment to professional growth and continuous learning\nMANDATORY REQUIREMENTS\nCandidates who do not meet the mandatory requirements will not be considered.\nMinimum 7 years of hands-on experience supporting AWS environments, including EC2, RDS, S3, CloudWatch, CloudTrail, IAM, KMS, AWS Backup, and Lambda\nMinimum 7 years of experience administering Linux/Unix systems and developing automation scripts using Bash, Shell, or Python\nMinimum 7 years of experience implementing Infrastructure as Code (IaC) and automation using CloudFormation, Terraform, and Ansible\nMinimum 7 years of experience designing and supporting AWS networking architectures, including VPCs, subnets, NACLs, security groups, Route 53, and multi-AZ environments\nMinimum 5 years of experience building and supporting CI/CD pipelines using Jenkins and IaC for deploying AI agents and ML models into production\nMinimum 5 years of experience supporting MLOps workflows using container-based platforms such as Kubernetes, ECS, or EKS\nMinimum 4 years of experience architecting and maintaining scalable data processing workflows using AWS managed services and Python, including PySpark\nMinimum 4 years of experience designing data architectures and implementing ETL/ELT pipelines\nMinimum 4 years of experience working with AWS AI/ML services such as SageMaker, Bedrock, and vector databases including OpenSearch\nStrong understanding of machine learning algorithms, NLP concepts, and deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face\nStrong communication and documentation skills within cross-functional technical teams\nSCOPE OF SERVICES\nMonitor database and system performance using AWS CloudWatch metrics, alarms, and logs, and proactively troubleshoot issues\nDevelop, deploy, and optimize AI/ML solutions using AWS services such as SageMaker and Bedrock, supporting model training, inference, and production integration\nAutomate operational tasks using AWS Lambda, Systems Manager (SSM), and Infrastructure-as-Code tools\nDesign, build, and maintain scalable, fault-tolerant data processing and analytics workflows using AWS services including API Gateway, S3, EC2, RDS, Lambda, Glue, Athena, DynamoDB, EMR, Kinesis, and DataSync\nDesign and integrate agentic AI systems, including LLM-based agents and multi-agent workflows using frameworks such as LangChain and LangGraph\nImplement ETL/ELT pipelines and data architectures supporting machine learning, analytics, and intelligent agent-based applications\nSupport CI/CD pipelines for AI models and data workflows using Jenkins and container platforms such as ECS, EKS, or Kubernetes\nApply security best practices across AI and data platforms, including IAM least-privilege access, encryption, audit logging, and compliance controls\nMaintain technical documentation for AI architectures, data pipelines, infrastructure configurations, and operational runbooks\nUNIVERSAL Technologies is an equal opportunity employer.\nJob Types: Full-time, Contract\nPay: $90.00 - $95.00 per hour\nExpected hours: 40 per week\nApplication Question(s):\nCan you work onsite in Brooklyn, NY?\nMinimum 7 years of hands-on experience supporting AWS environments?\n7 years of experience administering Linux/Unix systems?\n7 years of experience implementing Infrastructure as Code (IaC) and automation using CloudFormation, Terraform, and Ansible?\n4 years of experience architecting and maintaining scalable data processing workflows using AWS managed services and Python, including PySpark?\nWork Location: In person","company":"Universal Technologies","rawCompany":"universal technologies","city":"Brooklyn","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-04-14T11:06:29.201Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Cloud Platform Engineer","description":"UNIVERSAL Technologies is seeking a Cloud Platform Engineer for an onsite role in Brooklyn, NY with strong AWS, AI/ML, and data platform expertise to support a high-priority, agency-wide initiative focused on reducing payment error rates and strengthening program integrity. Active LinkedIn preferred. This role will design, deploy, and support scalable, secure cloud infrastructure and AI-enabled data solutions that enhance eligibility accuracy, automation, compliance, and data-driven decision-making in a regulated enterprise environment.\nWHO WE ARE\nUNIVERSAL Technologies is a Women-Owned (M/WBE) IT consulting and professional services firm delivering innovative technology solutions to government and enterprise clients. We specialize in cloud engineering, data analytics, artificial intelligence, automation, and application development to help organizations improve performance, compliance, and service delivery.\nWHAT WE OFFER\nEngagement on mission-critical, high-visibility government initiatives\nHands-on work with AWS cloud, AI/ML, and data platforms\nCollaborative environment with experienced cloud, data, and AI professionals\nCommitment to professional growth and continuous learning\nMANDATORY REQUIREMENTS\nCandidates who do not meet the mandatory requirements will not be considered.\nMinimum 7 years of hands-on experience supporting AWS environments, including EC2, RDS, S3, CloudWatch, CloudTrail, IAM, KMS, AWS Backup, and Lambda\nMinimum 7 years of experience administering Linux/Unix systems and developing automation scripts using Bash, Shell, or Python\nMinimum 7 years of experience implementing Infrastructure as Code (IaC) and automation using CloudFormation, Terraform, and Ansible\nMinimum 7 years of experience designing and supporting AWS networking architectures, including VPCs, subnets, NACLs, security groups, Route 53, and multi-AZ environments\nMinimum 5 years of experience building and supporting CI/CD pipelines using Jenkins and IaC for deploying AI agents and ML models into production\nMinimum 5 years of experience supporting MLOps workflows using container-based platforms such as Kubernetes, ECS, or EKS\nMinimum 4 years of experience architecting and maintaining scalable data processing workflows using AWS managed services and Python, including PySpark\nMinimum 4 years of experience designing data architectures and implementing ETL/ELT pipelines\nMinimum 4 years of experience working with AWS AI/ML services such as SageMaker, Bedrock, and vector databases including OpenSearch\nStrong understanding of machine learning algorithms, NLP concepts, and deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face\nStrong communication and documentation skills within cross-functional technical teams\nSCOPE OF SERVICES\nMonitor database and system performance using AWS CloudWatch metrics, alarms, and logs, and proactively troubleshoot issues\nDevelop, deploy, and optimize AI/ML solutions using AWS services such as SageMaker and Bedrock, supporting model training, inference, and production integration\nAutomate operational tasks using AWS Lambda, Systems Manager (SSM), and Infrastructure-as-Code tools\nDesign, build, and maintain scalable, fault-tolerant data processing and analytics workflows using AWS services including API Gateway, S3, EC2, RDS, Lambda, Glue, Athena, DynamoDB, EMR, Kinesis, and DataSync\nDesign and integrate agentic AI systems, including LLM-based agents and multi-agent workflows using frameworks such as LangChain and LangGraph\nImplement ETL/ELT pipelines and data architectures supporting machine learning, analytics, and intelligent agent-based applications\nSupport CI/CD pipelines for AI models and data workflows using Jenkins and container platforms such as ECS, EKS, or Kubernetes\nApply security best practices across AI and data platforms, including IAM least-privilege access, encryption, audit logging, and compliance controls\nMaintain technical documentation for AI architectures, data pipelines, infrastructure configurations, and operational runbooks\nUNIVERSAL Technologies is an equal opportunity employer.\nJob Types: Full-time, Contract\nPay: $90.00 - $95.00 per hour\nExpected hours: 40 per week\nApplication Question(s):\nCan you work onsite in Brooklyn, NY?\nMinimum 7 years of hands-on experience supporting AWS environments?\n7 years of experience administering Linux/Unix systems?\n7 years of experience implementing Infrastructure as Code (IaC) and automation using CloudFormation, Terraform, and Ansible?\n4 years of experience architecting and maintaining scalable data processing workflows using AWS managed services and Python, including PySpark?\nWork Location: In person","datePosted":"2026-04-14T11:06:29.201Z","dateModified":"2026-04-14T11:06:29.201Z","hiringOrganization":{"@type":"Organization","name":"Universal Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brooklyn","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c1848e488fb9494bcf34ef46"},"url":"https://jobsearcher.com/jobs/c1848e488fb9494bcf34ef46"}}