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Tier-1 brand, generic senior engineer title, mid-level experience, and broad cloud/backend requirements increase competition.
Core backend and cloud skills transfer well across industries, though semantic/RDF expertise raises domain specificity.
Explicit 4+ years plus mandatory AWS, Python, CI/CD and Terraform requirements create strict filtering.
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Develop, deploy, maintain, and support semantic tooling and Knowledge Graph software solutions in collaboration with product and senior engineering leadership.
Own assigned software services and components including maintenance, support, documentation, lifecycle management, and production support with a focus on system reliability, security, and compliance.
Contribute to end-to-end software development lifecycle and collaborative R&D for semantic stack solutions integrated with internal systems, ensuring cloud-native deployment and continuous improvement.
Bachelor’s degree in Computer Science, Software Engineering, or related field.
4+ years of progressive experience in Software Engineering.
Strong knowledge and hands-on experience with container management platforms on AWS and modern Python development (Python 3.13+).
Experience with CICD/IAC processes such as GitHub Actions and Terraform.
Experienced in operating and supporting complex, data-driven software environments with production support responsibilities and agile delivery.
Familiar with cloud-native architectures and microservice/event-driven systems handling high-volume data ingestion and processing.
Has familiarity or interest in semantic technologies such as RDF, SPARQL, and triplestores, aligning with the knowledge engineering domain.