Teams at Crop.photo by Evolphin

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.