AI Cloud Data Platform engineer
XChange Software Inc · New York, United States
- On site
- Contract
- New York, United States
About the role
Position: Senior Software engineer-AI Cloud Data Platform
Location: Park Avenue , NY(Hybrid-2 Days Onsite)
Duration: 12+months Contract
Video 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.