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Protocol Intelligence
Data-driven signals on your job's competitivenessRemote, mid-senior, popular SDE title and broad skillset drive high applicant competition.
Platform, cloud, and AI full-stack skills are moderately transferable across product and SaaS companies.
Mandatory 6+ years, full-stack, cloud, AI, Kubernetes, and security experience increases shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Build and architect scalable, cloud-native internal and external developer platforms with AI-driven automation and orchestration layers.
Lead design discussions, mentor engineers, and improve architecture for scalability, reliability, and operational efficiency in a globally distributed setup.
Develop full-stack features including React interfaces with generative AI for human-in-the-loop workflows and establish CI/CD and AI evaluation practices for production systems.
Minimum Requirements
Bachelor's degree in Computer Science, Engineering, or related technical field.
6+ years of software engineering experience building scalable, production-grade full-stack systems including backend APIs and frontend applications.
Proficiency in Java or Python or C#, React, experience with distributed systems, cloud-native development, and generative AI features.
Experience with AWS/cloud environments, CI/CD, containerization (Docker, Kubernetes), Postgres, and secure software development practices.
Ideal Candidate Profile
Experienced in architecting and scaling distributed systems and developer platforms in cloud-native environments with a strong understanding of AI-first engineering.
Comfortable leading complex technical discussions, mentoring globally distributed teams, and driving architectural improvements.
Hands-on with AI and autonomous workflows applied to developer experience, capable of integrating generative AI into full-stack applications.
