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Seeking a Full Stack Developer to design and develop applications using Python and Angular, implement CI/CD practices on AWS, and lead technical teams for software delivery.

Develop, test, deploy, and support Python backend microservices and REST/GraphQL APIs on AWS. Improve CI/CD, automated testing, security checks, and production reliability. Use AI-assisted tools for development, contribute to documentation, troubleshooting, and cross-functional delivery within Agile teams.

Work alongside AI agents to review and validate automated actions, execute core operations within SLAs, resolve escalations, analyse processes for automation opportunities, maintain playbooks and compliance, and support billing reconciliation and knowledge management to optimise human-AI workflows.

Lead process design and optimisation in an AI-assisted operations environment. Validate AI actions, manage escalations, monitor SLAs, identify automation opportunities, maintain process documentation, support billing reconciliation and regulatory compliance, and collaborate across Product, Tech, and Compliance.

The Senior Software Consultant will lead full-stack technical teams, implement agile development and CI/CD practices, and ensure delivery of high-quality software solutions.

Design, build, and operate production ETL/ELT pipelines using Python and Pandas; author performant SQL for PostgreSQL and Trino; architect AWS data solutions (S3, Glue, Athena); implement Terraform-based IaC and automated CI/CD; embed security best practices; collaborate with product and analytics teams to deliver dimensional models, curated datasets, and Superset dashboards while working within Agile delivery.

Work alongside AI agents to validate and approve AI actions, execute core operations, resolve escalations, analyse processes for automation, maintain process maps and documentation, support billing reconciliation and regulatory compliance.

Develop, test, deploy, and support Python backend microservices and REST/GraphQL APIs on AWS. Improve CI/CD, automated testing, and security practices, troubleshoot production issues, and share knowledge across cross-functional teams using AI-assisted engineering tools.