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Metro-based, popular backend title with broad skillset and mid-seniority drives high competition.
Core backend, cloud, and API skills are transferable, though financial/crypto domain preference increases relevance.
Mandatory 7+ years plus specific backend, cloud, CI/CD, Kubernetes and AI-integration skills increase strictness.
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Design, build, and maintain backend services and REST APIs powering Galaxy's AI products, integrating LLM and RAG-based AI features.
Implement end-to-end features from data models to production deployment, collaborating with product and engineering teams.
Contribute occasionally to AI platform components; focus on application-level AI integration using AWS Bedrock, AgentCore, and SageMaker APIs.
7+ years programming and engineering experience with Python, REST APIs, CI/CD, automated testing, distributed systems, and relational databases (e.g., PostgreSQL).
Proficiency with Kubernetes, Terraform, Docker; Jenkins experience is a plus.
Working familiarity with Generative AI/LLM concepts (RAG, embeddings, prompt engineering) and integrating applications with AI platform APIs such as AWS Bedrock.
Experience with AWS or equivalent cloud platforms; observability, monitoring, security (OAuth2/OIDC, RBAC) in production apps required.
Senior-level engineer experienced in backend service development and AI integration on cloud-native platforms, especially AWS.
Strong focus on shipping scalable AI-powered features with operational excellence and cross-stack collaboration.
Background in financial services, digital assets, or AI infrastructure domains preferred but not mandatory.