• Build and deliver the chat-style Q&A interface (Vue.js SPA, served via S3/CloudFront) • Implement RBAC enforcement in the frontend: role-based access, filtered views, and permission-scoped display logic • Develop the reporting and pilot analytics UI: query clustering views and audit log access for authorised roles • Integrate the frontend with the Python/FastAPI backend via AWS API Gateway • Implement the SSO login flow: Cognito-backed identity provider integration on the frontend • Collaborate with UX Designer on component implementation; ensure designs are faithfully and precisely translated • Contribute to end-to-end integration testing with the QA Automation Engineer

• Build and maintain the BFF/Backend API layer (Python/FastAPI, ECS/Lambda) • Implement SSO / identity provider integration and the tenant-based authentication schema (AWS Cognito) • Build the audit logging layer, from minimal dev logging through to full document lifecycle tracking • Develop core API services supporting the chat Q&A interface and retrieval orchestration • Integrate with AWS services: API Gateway, Cognito, DynamoDB, S3, CloudWatch • Write unit and integration tests; support the QA Automation Engineer with testable, documented service contracts • Participate in code reviews and contribute to maintaining backend code quality standards alongside the Tech Lead

• You will be a part of the international team that focuses on delivering self-service applications to empower global companies. • Suggesting technical solutions for the new and existing functionalities, then developing them with the team • Participating in creating product architecture (recommendation and taking the ownership for the implementation) • Performing code reviews • Supporting the development team through exchanging knowledge and skills • Collaborating closely with developers and product owner

• As a Senior Python Software Engineer, you will play a key role in designing, building, and improving data capabilities that strengthen the company’s competitive advantage in cyber data • Design and implement new data capabilities, including large-scale data ingestion, transformation pipelines, robust high-performance APIs, and consumers for high-frequency event streams • Contribute to the development of the proprietary data platform and help evolve it towards a data mesh architecture for the enterprise • Build solutions using the standard technology stack: Python, Linux via WSL, PostgreSQL, SQL Server, Databricks, and cloud infrastructure spanning Azure and AWS • Develop advanced mechanisms for data ingestion, transformation, and mass-parallel orchestration of network IO • Model data for operational and analytical purposes in collaboration with your team, other engineering teams, and analytical data customers • Work with infrastructure teams to maintain Infrastructure as Code and deliver valuable features for the engineering platform • Improve data quality across the estate by defining and acting on indicators such as completeness, accuracy, reliability, and usability • Evaluate potential new data sources for specific applications, assessing their completeness, accuracy, and business value • Contribute to quality automation in CI/CD processes, optimising for a bug-free release cadence and a positive developer experience • Support test automation through platform enhancements and additional automated tests • Maintain clear technical documentation, starting with well-documented code and extending to materials for technical and non-technical audiences • Participate in a pairing-first development team by sharing expertise, learning from colleagues, and contributing to an open engineering culture • Mentor and coach less experienced engineers through design discussions, code reviews, and practical knowledge sharing • Assess application security and API quality to ensure solutions comply with relevant application security and API standards