Back
Metro location and broad full-stack/AI skillset increase applicant density despite senior requirement.
Core full-stack and AWS/AI skills are widely transferable, but finance/crypto preference raises sensitivity.
Explicit 7+ years plus mandatory full-stack, cloud, and infra technologies makes filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and ship full stack production AI applications using Galaxy's AI platform with end-to-end ownership including frontend, backend, CI/CD, and deployment.
Transform AI prototypes into production-ready, scalable, reliable, and secure applications collaborating cross-functionally and using Kubernetes, Terraform, and observability tools.
Act as a product and technical advisor across teams for AI architecture best practices, reusable patterns, and prototype-to-production guidance.
7+ years of professional experience in full stack development with a focus on AI application delivery.
Strong skills in React frontend development, Python backend (FastAPI or similar), and building scalable REST APIs.
Proficiency in CI/CD tools and infrastructure technologies: Kubernetes, Terraform, Docker, automated testing, and modern Git workflows.
Experience with AWS cloud stack including AWS-native AI services (Bedrock, SageMaker, AgentCore) and core services such as EC2, EKS, Lambda, S3, IAM.
Experienced in end-to-end AI product development with strong product sense balancing user needs and technical feasibility.
Comfortable advising on architecture to scale prototypes to production using cloud-native infrastructure and security best practices (OAuth2/OIDC, RBAC, secrets).
Has operated in fast-paced, innovation-driven environments building AI-powered, responsive UIs and robust backends integrated with enterprise and AI data sources.