{"schemaVersion":"jobsearcher.job.v1","id":"635bd99d462c1752bae048f9","url":"https://jobsearcher.com/jobs/635bd99d462c1752bae048f9","canonicalUrl":"https://jobsearcher.com/jobs/635bd99d462c1752bae048f9","title":"AI Cloud Data Platform engineer","description":"Position: Senior Software engineer-AI Cloud Data PlatformLocation: Park Avenue , NY(Hybrid-2 Days Onsite)Duration: 12+months ContractVideo and Onsite Interview What You’ll Bring● 6+ years of professional software engineering experience.● Strong Python skills and experience developing production-grade backend services and APIs; Java experience is a plus.● Experience designing and operating distributed systems in public-cloud environments, with a strong understanding of failure modes and resilient design patterns.● Hands-on AWS experience, including services such as EC2, S3, IAM, and container-based workloads.● Experience with Infrastructure as Code, preferably Terraform.● Experience with production operations, including metrics, logging, tracing, alerting, SLOs, and incident response.● Strong knowledge of software architecture, databases, networking, cloud infrastructure, and modern application development.● A degree in computer science, engineering, or a related field, or equivalent practical experience.Preferred Qualifications● Experience building or operating API gateways, LLM gateways, or similar proxy layers with routing, fallback, rate limiting, caching, and cost tracking.● Experience with OpenTelemetry, Prometheus, Grafana, Datadog, or similar observability tools.● Experience with Kubernetes and autoscaling technologies, preferably Amazon EKS and Karpenter.● Knowledge of AWS networking and security, including VPC, Direct Connect, IAM, and cloud security controls.● Experience with chaos engineering, load and failure testing, capacity planning, or disaster recovery.● Experience developing AI-powered applications, agent-based systems, model-inference services, or AI serving platforms.● Familiarity with AI development tools such as Claude Code, Cursor, or GitHub Copilot.● Working knowledge of machine learning concepts and the ML development lifecycle. Experience with SageMaker, Bedrock, PyTorch, TensorFlow, or scikit-learn is a plus.● The ability to learn quickly and independently lead large technical initiatives from concept through production.","company":"Xchange Software","rawCompany":"xchange software","city":"Ny","state":"WAL","isRemote":false,"isActive":false,"createdAt":"2026-07-29T11:11:25.646Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Cloud Data Platform engineer","description":"Position: Senior Software engineer-AI Cloud Data PlatformLocation: Park Avenue , NY(Hybrid-2 Days Onsite)Duration: 12+months ContractVideo and Onsite Interview What You’ll Bring● 6+ years of professional software engineering experience.● Strong Python skills and experience developing production-grade backend services and APIs; Java experience is a plus.● Experience designing and operating distributed systems in public-cloud environments, with a strong understanding of failure modes and resilient design patterns.● Hands-on AWS experience, including services such as EC2, S3, IAM, and container-based workloads.● Experience with Infrastructure as Code, preferably Terraform.● Experience with production operations, including metrics, logging, tracing, alerting, SLOs, and incident response.● Strong knowledge of software architecture, databases, networking, cloud infrastructure, and modern application development.● A degree in computer science, engineering, or a related field, or equivalent practical experience.Preferred Qualifications● Experience building or operating API gateways, LLM gateways, or similar proxy layers with routing, fallback, rate limiting, caching, and cost tracking.● Experience with OpenTelemetry, Prometheus, Grafana, Datadog, or similar observability tools.● Experience with Kubernetes and autoscaling technologies, preferably Amazon EKS and Karpenter.● Knowledge of AWS networking and security, including VPC, Direct Connect, IAM, and cloud security controls.● Experience with chaos engineering, load and failure testing, capacity planning, or disaster recovery.● Experience developing AI-powered applications, agent-based systems, model-inference services, or AI serving platforms.● Familiarity with AI development tools such as Claude Code, Cursor, or GitHub Copilot.● Working knowledge of machine learning concepts and the ML development lifecycle. Experience with SageMaker, Bedrock, PyTorch, TensorFlow, or scikit-learn is a plus.● The ability to learn quickly and independently lead large technical initiatives from concept through production.","datePosted":"2026-07-29T11:11:25.646Z","dateModified":"2026-07-29T11:11:25.646Z","hiringOrganization":{"@type":"Organization","name":"Xchange Software","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ny","addressRegion":"WAL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"635bd99d462c1752bae048f9"},"url":"https://jobsearcher.com/jobs/635bd99d462c1752bae048f9"}}