Full Stack Developer Python / Angular
Summary
Full stack developer (Python + Angular) enhancing an Application Security ticket dashboard for audit-finding mitigation: building backend services, REST APIs and Angular UI, consolidating ticket/audit data sources, and adding AI/LLM-driven record correlation and reporting automation.
Project: Audit Finding Mitigation & Control Development About the Role
We are seeking a Full Stack Developer with
Python and Angular
experience to enhance an existing
Application Security (AppSec) SRP ticket dashboard and its automation capabilities . The role will introduce
AI-driven correlation across multiple data sources
to reduce manual analysis, improve visibility of audit findings and support mitigation tracking. Key Responsibilities
Analyse the existing dashboard, automation workflows and underlying data sources.
Develop and enhance
Python backend services
and
Angular frontend components .
Build APIs and integrations to consolidate ticket, audit finding and remediation data.
Implement AI-driven capabilities to correlate related records and highlight relevant relationships across data sources.
Improve dashboard views, filtering and reporting to support analysis and mitigation tracking.
Automate repetitive data processing, validation and reporting activities.
Work with AppSec and business stakeholders to clarify requirements and validate results.
Test correlation accuracy, investigate discrepancies and refine solution behaviour.
Perform unit, integration and regression testing.
Support deployment, troubleshooting and ongoing enhancements.
Maintain technical documentation covering integrations, data processing and application functionality.
Apply secure coding practices and appropriate access controls.
Requirements
Hands-on
full stack development experience using Python and Angular .
Experience developing
REST APIs , backend services and responsive web interfaces.
Strong knowledge of
TypeScript, JavaScript, HTML and CSS .
Experience integrating multiple data sources and implementing data transformation and validation logic.
Working knowledge of databases and SQL.
Practical experience applying AI/ML or LLM capabilities to data analysis, correlation or workflow automation.
Familiarity with Git, automated testing and CI/CD practices.
Strong analytical, debugging and problem-solving skills.
Ability to translate stakeholder requirements into maintainable technical solutions.
Good communication and documentation skills.
Added Advantage
Experience with AppSec, vulnerability management, audit findings or remediation workflows.
Experience integrating ticketing or workflow-management platforms.
Experience developing operational dashboards and reporting automation.
Knowledge of AI evaluation, explainability and human review controls.
Experience working in regulated enterprise environments.
Registration No.: R25156061 EA No.: 11C3373