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Metro location and desirable full‑stack/AI skills increase competition despite senior, specialized requirements.
AI platform and full‑stack infrastructure skills transfer across industries, though AI product experience is beneficial.
Mandates 7+ years plus specific tech stack, AWS AI services, infrastructure, security, and CI/CD expertise.
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Design, build, and ship end-to-end full stack AI-powered applications using Galaxy's AI platform for institutional and individual clients.
Take ownership of development from frontend React UI and Python backend services through infrastructure, CI/CD pipelines using Kubernetes and Terraform to production deployment and monitoring.
Advise and collaborate with product and engineering teams to harden, scale, and transition AI prototypes into production-ready products while ensuring security, scalability, and reliability.
7+ years of professional experience in software engineering.
Strong proficiency in React or similar frontend frameworks, Python backend development, and REST API design with FastAPI or equivalent.
Hands-on experience with Kubernetes, Terraform, Docker, CI/CD pipelines, automated testing, and modern Git workflows.
Strong AWS cloud experience particularly with AI-related services (Bedrock, SageMaker, AgentCore) and core AWS infrastructure components.
Experienced with full stack development including frontend, backend, data layers (PostgreSQL, Databricks, Redis), and infrastructure deployment.
Product-minded engineer able to translate AI prototypes into scalable, secure, and production-ready applications with good product sense.
Experience or strong interest in financial services, digital assets/crypto, or AI infrastructure domain preferred but not mandatory.