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Tier-1 brand, mid-level backend role in metro with broad skillset increases applicant competition.
Core backend, cloud, and messaging skills are broadly transferable across industries.
Explicit 3+ years plus required backend, cloud, messaging and observability skills increases screening strictness.
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Design, develop, and maintain reliable, secure, high-performance backend services and APIs powering Kensho’s AI applications, including GenAI platforms and established ML toolkits (Link, NERD).
Build and optimize retrieval and orchestration services that integrate complex ML workflows, ensuring scalability and low-latency performance at scale.
Contribute to backend system architecture, enforce engineering best practices, ensure operational monitoring, security compliance, and collaborate cross-functionally with ML, Product, and Infrastructure teams.
3+ years of experience developing customer-facing APIs and building backend services.
Proficiency in Python and experience with RESTful API frameworks such as Flask, FastAPI, or Django REST Framework.
Experience with containerization (Docker, Kubernetes), distributed systems, messaging/workflow systems (Kafka, RabbitMQ, Celery), and cloud platforms (AWS preferred).
Work Experience Required: 3+ years in backend software development. Notice Period: Not explicitly mentioned in the JD.
Engineer with strong skills in designing distributed, event-driven backend architectures for high-volume, low-latency AI applications involving complex ML integrations.
Experienced in full software development lifecycle and operational excellence including CI/CD, observability (metrics, tracing, logging), and security best practices.
Capable of translating abstract business needs into technical plans, contributing to system architecture decisions, and collaborating effectively across Product, ML, and Infrastructure teams.