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Tier-1 brand, remote role, mid-level generalist full-stack title, and broad required skillset increase competition.
Requires combined full-stack, cloud, and analytics/LLM experience, making cross-industry fit moderately constrained.
Mandatory master's degree, explicit 6-year minimum, and many required technical skills enforce high strictness.
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Design, develop, and maintain scalable, secure cloud-based AI applications using a full-stack technology stack.
Collaborate cross-functionally to implement analytics features, develop APIs and microservices, and manage deployment using Kubernetes and DevOps practices.
Influence and support analytics engineering capabilities for clients and contribute to multi-disciplinary teams delivering data-driven business solutions.
Master’s degree in Computer Science, Engineering, or related technical field.
Minimum 6 years of professional experience; at least 3 years at Senior or Staff level or equivalent.
Strong experience with back-end (Django, Flask, FastAPI) and front-end technologies (React, Angular, Vue.js).
Experience with cloud platforms (AWS, Azure, GCP), container technologies (Docker, Kubernetes), DevOps/CI/CD practices, and Python (4+ years).
Experienced in leading analytics application development with strong computer science fundamentals and API design expertise.
Comfortable working in multi-disciplinary, client-facing roles requiring communication of complex technical topics to non-technical stakeholders.
Familiar with workflow orchestration tools, LLMs and prompt engineering, as well as scalable database design and data architecture.