{"schemaVersion":"jobsearcher.job.v1","id":"2a139377b86cbb69bed3eb5e","url":"https://jobsearcher.com/jobs/2a139377b86cbb69bed3eb5e","canonicalUrl":"https://jobsearcher.com/jobs/2a139377b86cbb69bed3eb5e","title":"AWS Cloud Platform Engineer - (AWS AI/ML EC2, RDS, S3,Linux/Unix scripting)","description":"Our goal is to solve problems and deliver results for our clients. At Cloud and Things, you can be a part of transforming the public sector’s IT environment. Our team is on the forefront of helping to solve the government's most complex IT challenges. If you are seeking a role that offers the opportunity to work on rewarding projects, consider a career with Cloud and Things.??\n*This is an exempt position. Salary commensurate with experience*\nOverview:\nLocation: NYC - Hybrid\nSalary: $125,000 - $155,000\nWe are seeking an AWS Cloud Platform Engineer who will support our NYC client. This role will be expected to design, automate, and support secure, scalable AWS-based platforms that enable data processing, AI/ML workloads, and production-grade MLOps. The ideal candidate for this role will be highly analytical, automation-focused, and comfortable supporting complex, mission-critical systems in a large enterprise or public-sector environment.\n\nDuties:\nDesign, provision, and maintain secure, highly available AWS cloud infrastructure using services such as EC2, RDS, S3, IAM, KMS, and multi-AZ architectures.\nImplement and manage Infrastructure as Code (IaC) using Terraform, CloudFormation, and Ansible to automate environment provisioning and configuration.\nAdminister and optimize Linux/Unix systems, developing automation scripts in Bash, Shell, and Python to improve reliability and operational efficiency.\nBuild and support CI/CD pipelines (e.g., Jenkins) to deploy cloud infrastructure, AI agents, and machine learning models into production environments.\nDeploy, monitor, and manage containerized workloads and MLOps platforms using Kubernetes, ECS, or EKS.\nArchitect and maintain scalable data processing and ETL/ELT workflows leveraging AWS managed services, Python, and PySpark.\nIntegrate and support AWS AI/ML services such as SageMaker, Bedrock, and OpenSearch (vector databases) to enable AI-driven applications.\nMonitor system performance, security, and compliance using CloudWatch, CloudTrail, AWS Backup, and networking controls, ensuring operational resilience and governance.\nMandatory Qualifications:\n7+ years of hands-on AWS experience: EC2, RDS, S3, CloudWatch, CloudTrail, IAM, KMS, AWS Backup, and Lambda.\n7+ years of experience in Linux/Unix administration and automation scripting (Bash, Shell, Python).\n7+ years of experience with Infrastructure as Code (IaC) and automation tools, including CloudFormation, Terraform, and Ansible, for provisioning and maintaining.\n7+ years of knowledge in AWS networking: VPC, subnets, NACLs, security groups, Route 53, and multi-AZ architectures.\n5+ years of experience with 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.\n4+ 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.\n4+ years of experience working with AWS AI/ML services such as SageMaker, Bedrock, and Vector databases (OpenSearch).\nStrong understanding of machine learning algorithms, NLP concepts, and deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face.\nAssociates degree in related field or combination of education and experience.\nCloud and Things complies with all applicable federal, state, and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race,?color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws.?\n\nAI-Assisted Resume Evaluation Notice\nCloud and Things – Talent Management\nNotice to Candidates\nCloud and Things utilizes artificial intelligence (AI) tools to assist our recruiting team in evaluating candidate applications for streamlining; consistency, efficiency, and thoroughness. All hiring decisions are ultimately made by our human recruiting professionals.\nHow AI Is Used\nOur AI tools assist by:\nAnalyzing resumes against job requirements\nSupporting our recruiters in candidate data evaluation\nEnsuring consistent review standards across all applications\nImportant: AI serves as a support tool only. As noted above, all candidate selection and hiring decisions are made by experienced human recruiters. Your unedited resume will be processed by our AI tools as part of this evaluation.\nYour Data and Privacy\nCloud and Things Data Handling:\nYour information is processed securely and used exclusively for recruitment purposes\nCloud and Things may store your resume in our Applicant Tracking System (ATS) indefinitely for future job matching opportunities\nYou may opt out of long-term ATS storage by emailing your name and your request to opt out of storing your resume in the ATS to: security@cloudandthings.com\nAll personal information is handled confidentially in accordance with our privacy policy\nAI Tool Data Processing:\nAI processing data is retained for a maximum of 90 days, after which it is deleted\nAll data sent to AI tools is encrypted in transit and at rest\nAI tools comply with applicable privacy laws including GDPR and CCPA\nPersonal data is anonymized or minimized wherever possible during AI processing\nYour Participation\nBy submitting your application, you acknowledge this notice and consent to AI-assisted evaluation as part of our recruitment process. You may opt out only by choosing not to submit your resume for consideration.","company":"Cloud Things","rawCompany":"cloud things","city":"New York","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-04-14T11:11:45.871Z","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":"AWS Cloud Platform Engineer - (AWS AI/ML EC2, RDS, S3,Linux/Unix scripting)","description":"Our goal is to solve problems and deliver results for our clients. At Cloud and Things, you can be a part of transforming the public sector’s IT environment. Our team is on the forefront of helping to solve the government's most complex IT challenges. If you are seeking a role that offers the opportunity to work on rewarding projects, consider a career with Cloud and Things.??\n*This is an exempt position. Salary commensurate with experience*\nOverview:\nLocation: NYC - Hybrid\nSalary: $125,000 - $155,000\nWe are seeking an AWS Cloud Platform Engineer who will support our NYC client. This role will be expected to design, automate, and support secure, scalable AWS-based platforms that enable data processing, AI/ML workloads, and production-grade MLOps. The ideal candidate for this role will be highly analytical, automation-focused, and comfortable supporting complex, mission-critical systems in a large enterprise or public-sector environment.\n\nDuties:\nDesign, provision, and maintain secure, highly available AWS cloud infrastructure using services such as EC2, RDS, S3, IAM, KMS, and multi-AZ architectures.\nImplement and manage Infrastructure as Code (IaC) using Terraform, CloudFormation, and Ansible to automate environment provisioning and configuration.\nAdminister and optimize Linux/Unix systems, developing automation scripts in Bash, Shell, and Python to improve reliability and operational efficiency.\nBuild and support CI/CD pipelines (e.g., Jenkins) to deploy cloud infrastructure, AI agents, and machine learning models into production environments.\nDeploy, monitor, and manage containerized workloads and MLOps platforms using Kubernetes, ECS, or EKS.\nArchitect and maintain scalable data processing and ETL/ELT workflows leveraging AWS managed services, Python, and PySpark.\nIntegrate and support AWS AI/ML services such as SageMaker, Bedrock, and OpenSearch (vector databases) to enable AI-driven applications.\nMonitor system performance, security, and compliance using CloudWatch, CloudTrail, AWS Backup, and networking controls, ensuring operational resilience and governance.\nMandatory Qualifications:\n7+ years of hands-on AWS experience: EC2, RDS, S3, CloudWatch, CloudTrail, IAM, KMS, AWS Backup, and Lambda.\n7+ years of experience in Linux/Unix administration and automation scripting (Bash, Shell, Python).\n7+ years of experience with Infrastructure as Code (IaC) and automation tools, including CloudFormation, Terraform, and Ansible, for provisioning and maintaining.\n7+ years of knowledge in AWS networking: VPC, subnets, NACLs, security groups, Route 53, and multi-AZ architectures.\n5+ years of experience with 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.\n4+ 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.\n4+ years of experience working with AWS AI/ML services such as SageMaker, Bedrock, and Vector databases (OpenSearch).\nStrong understanding of machine learning algorithms, NLP concepts, and deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face.\nAssociates degree in related field or combination of education and experience.\nCloud and Things complies with all applicable federal, state, and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race,?color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws.?\n\nAI-Assisted Resume Evaluation Notice\nCloud and Things – Talent Management\nNotice to Candidates\nCloud and Things utilizes artificial intelligence (AI) tools to assist our recruiting team in evaluating candidate applications for streamlining; consistency, efficiency, and thoroughness. All hiring decisions are ultimately made by our human recruiting professionals.\nHow AI Is Used\nOur AI tools assist by:\nAnalyzing resumes against job requirements\nSupporting our recruiters in candidate data evaluation\nEnsuring consistent review standards across all applications\nImportant: AI serves as a support tool only. As noted above, all candidate selection and hiring decisions are made by experienced human recruiters. Your unedited resume will be processed by our AI tools as part of this evaluation.\nYour Data and Privacy\nCloud and Things Data Handling:\nYour information is processed securely and used exclusively for recruitment purposes\nCloud and Things may store your resume in our Applicant Tracking System (ATS) indefinitely for future job matching opportunities\nYou may opt out of long-term ATS storage by emailing your name and your request to opt out of storing your resume in the ATS to: security@cloudandthings.com\nAll personal information is handled confidentially in accordance with our privacy policy\nAI Tool Data Processing:\nAI processing data is retained for a maximum of 90 days, after which it is deleted\nAll data sent to AI tools is encrypted in transit and at rest\nAI tools comply with applicable privacy laws including GDPR and CCPA\nPersonal data is anonymized or minimized wherever possible during AI processing\nYour Participation\nBy submitting your application, you acknowledge this notice and consent to AI-assisted evaluation as part of our recruitment process. You may opt out only by choosing not to submit your resume for consideration.","datePosted":"2026-04-14T11:11:45.871Z","dateModified":"2026-04-14T11:11:45.871Z","hiringOrganization":{"@type":"Organization","name":"Cloud Things","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2a139377b86cbb69bed3eb5e"},"url":"https://jobsearcher.com/jobs/2a139377b86cbb69bed3eb5e"}}