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Strong brand, generalist backend title, mid experience band, and metro context increase applicant competition.
Core backend and cloud skills transfer broadly, but knowledge-graph specifics raise domain sensitivity to medium.
Explicit 4+ years plus mandatory Python, AWS containers, CI/CD, and Terraform imply high shortlisting strictness.
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Develop, deploy, maintain, and support bespoke semantic tooling and integration in the Knowledge Graph space within the enterprise data ecosystem.
Own assigned services/components including lifecycle management, maintenance, and production support ensuring reliability, maintainability, and operational excellence.
Contribute to the engineering roadmap implementation, R&D, rapid prototyping, and automation for semantic stack solutions in collaboration with product and engineering leadership.
Bachelor’s degree in Computer Science, Software Engineering, or related field.
Minimum 4 years of progressive software engineering experience.
Strong experience with container management platforms on AWS and modern Python development (3.13+).
Experience with CI/CD and Infrastructure as Code processes (GitHub Actions, Terraform).
Experienced in building and supporting complex software solutions in data-intensive environments, focusing on platform stability and continuous improvement.
Comfortable working end-to-end through software development lifecycle including testing, deployment, and production support in agile/flexible environments.
Familiarity or interest in semantic technologies, microservices, event-driven architectures, and potentially RDF/SPARQL data management.