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Strong employer brand, generalist software engineer title, metro/hybrid location, and broad backend skillset increase competition.
Backend and platform engineering skills transfer across industries, though AI platform and networking focus raises domain specificity.
No explicit years but language and distributed-systems skills required, producing moderate screening rigor.
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Develop, test, and maintain scalable AI and platform software components, including distributed systems and microservices.
Contribute to new product features and applications across multiple platforms, primarily using Go, Python, or similar languages.
Implement and support stateless, distributed SaaS platform services involving data ingestion, storage, and HTTP gateways interacting with databases like MySQL, NoSQL, and Redis.
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
Experience with at least one programming language such as Go, Python, Java, or C++.
Basic understanding of distributed systems, networking concepts, and cloud technologies.
Work Experience Required: Not explicitly mentioned in the JD.
Early-career engineer eager to grow skills in cloud-scale, distributed AI-driven software platforms.
Comfortable working with modern cloud technologies, microservices, containers (Docker, Kubernetes), and databases (SQL/NoSQL).
Has foundational knowledge of AI concepts like Model Context Protocol and interest in network security within AI platform contexts.