Python Fullstack Engineer

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Description

About the role Join the team behind the shared Recommender service that powers personalised suggestions for jobs, courses, careers and learning content across public-sector products, including MyCareersFuture, MySkillsFuture and CSC Learn. The platform is live and runs both traditional ML models and LLM-based recommendations. You'll keep it reliable, secure and compliant, and help agency teams build on top of it. What you'll do Platform reliability: Maintain the recommendation APIs and services. Handle bug fixes, refactoring and small enhancements, review PRs, monitor production health, lead incident response and root-cause analysis, manage upgrades and patches, and keep GCC hosting costs under control. Data pipelines and batch jobs: Maintain the pipelines that feed the recommenders (ingestion, feature and embedding generation, scheduled jobs). Oversee batch jobs such as data refreshes, model retraining and bulk recommendation generation. Set up monitoring and data quality checks, and troubleshoot issues in SQL and PySpark on Databricks. Security and compliance: Own the platform's security posture under government ICT policies (e.g. IM8). Coordinate VAPT and code or dependency scans and remediate findings on time. Prepare documentation for security assessments, audits and AI governance clearances. Ensure sensitive personal data is handled correctly. Documentation and agency support: Keep runbooks, architecture docs and integration guides current, and act as the technical poin

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