AI Cloud Data Platform engineer

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.