Develop scalable Java APIs and backend services using AWS and DocumentDB. Design data models, optimize queries and application performance, troubleshoot production issues, conduct code reviews, and implement testing and CI/CD pipelines. The role also involves evaluating and integrating AI/ML models into production APIs, researching technologies, and collaborating across distributed teams in a remote-first environment.

Design, operate, and scale cloud-native, multi-tenant SaaS platform infrastructure with emphasis on AWS, Kubernetes, GPU-backed AI workloads, Terraform automation, CI/CD, observability, reliability (SLIs/SLOs), security, disaster recovery, and cost optimization.

Lead QA automation strategy and build end-to-end test frameworks for web, API, and AI-driven features. Develop UI and API automation, performance/load tests, CI-integrated quality gates, and deterministic validation for non-deterministic ML outputs. Partner with product and engineering to define acceptance, shift-left quality, and validate AI/vision outputs and generated test code.