Advanced Kubernetes (EKS/AKS), Helm, and GitOps + AI/ML: Hands-on experience with LLM integration, prompt engineering, RAG architectures, and embedding AI-powered features into production SaaS workflows + Observability: Datadog, Grafana/Prometheus, distributed tracing (Jaeger/OpenTelemetry), and log analytics (ELK/OpenSearch) + Security: Solid understanding of OWASP Top 10, OAuth 2.0/JWT, zero-trust principles, and enterprise identity management + Successful completion of a background screening process including, but not limited to, employment verifications, criminal search, OFAC, and SS verification **Preferred Requirements:** + Experience in workforce management, customer experience, quality monitoring, or enterprise analytics SaaS domains. **Minimum Requirements:** + 8+ years of experience in design and architect of large-scale applications + Bachelor's Degree in Computer Science, Engineering, or related field; or equivalent experience + Proven record of owning architecture for large-scale, distributed SaaS products used by enterprise customers + Experience leading technical direction across globally distributed engineering organizations + Demonstrated ability to influence technical decisions across teams without direct management authority + Back-End: Expert-level proficiency in Java (Spring Boot, Spring MVC, JPA/Hibernate) and/or C# (.NET Core).